Mulakan

Candlestickpattern

FOREXSOM Previous High LowFOREXSOM Previous High Low automatically plots the Previous Week High PWH, Previous Week Low PWL, Previous Day High PDH, and Previous Day Low PDL using the exact candle wick highs and lows from higher timeframes The indicator is designed for traders who use price action, Smart Money Concepts SMC, ICT concepts, liquidity analysis, and market structure in their trading These levels are commonly used by traders to identify liquidity zones, support and resistance, stop hunts, breakout areas, and potential reversal points during the trading session The script keeps the chart clean while providing important higher timeframe reference levels that many traders use for intraday and swing trading decisions Features Plots exact Previous Week High and Low Plots exact Previous Day High and Low Uses precise wick highs and lows Customizable colors and line styles Adjustable line thickness Lightweight and clean chart design Works across all timeframes Useful for Forex, Crypto, Indices, Commodities, and Futures markets This indicator can be useful for traders analyzing GBPUSD, EURUSD, XAUUSD Gold, NASDAQ, US30, and other highly traded markets
Penunjuk Pine Script®
oleh FOREXSOM
Top-Down Candle Panel Top-Down Candle Panel The Top-Down Candle Panel is a premium multi-timeframe candle visualization system built for traders who rely on top-down analysis, market structure, and higher-timeframe confirmation. Instead of constantly switching between charts and timeframes, this indicator projects multiple higher-timeframe candles directly onto your active chart, allowing you to instantly read market pressure, candle behavior, and higher-timeframe sentiment in real time. Designed for precision traders, scalpers, intraday traders, and swing traders alike, the panel helps simplify market context while reducing chart clutter and decision fatigue. ━━━━━━━━━━━━━━━━━━ KEY FEATURES ━━━━━━━━━━━━━━━━━━ Displays up to 4 fully customizable timeframes simultaneously Default structure includes 5M, 15M, 1H, and 4H analysis Hybrid, Price Accurate, and Aligned Dashboard display modes Smart candle projection system Built-in candle behavior recognition Premium minimalist dashboard styling Adjustable candle scaling and spacing controls Light and dark mode compatibility Optional real-price hybrid markers Multi-timeframe alignment visualization Clean top-down workflow integration ━━━━━━━━━━━━━━━━━━ ADVANCED CANDLE ANALYSIS ━━━━━━━━━━━━━━━━━━ The panel automatically classifies candle behavior to help traders quickly interpret higher-timeframe intent and momentum. Included candle reads: Bullish Expansion Bearish Expansion Upper Rejection Lower Rejection Doji Bullish / Bearish pressure candles This allows traders to instantly identify: Expansion strength Rejection zones Momentum continuation Possible exhaustion Higher-timeframe buying or selling pressure ━━━━━━━━━━━━━━━━━━ WHY THIS TOOL EXISTS ━━━━━━━━━━━━━━━━━━ Most traders perform top-down analysis by manually flipping through multiple charts and timeframes. This process is slow, distracting, and often causes traders to lose focus on current price action. The Top-Down Candle Panel was built to solve that problem. By placing multiple timeframe candles directly beside live price action, traders can maintain situational awareness without leaving the active chart. This creates a faster and cleaner workflow for: Multi-timeframe confirmation Trend continuation analysis Rejection candle recognition Trade filtering Directional bias Context-based execution Avoiding trades against higher-timeframe pressure ━━━━━━━━━━━━━━━━━━ IMPORTANT ━━━━━━━━━━━━━━━━━━ This indicator is not designed to generate automatic buy or sell signals. Its purpose is to improve decision quality through clearer market context, cleaner visualization, and stronger higher-timeframe awareness. The goal is simple: Help traders see what the higher timeframes are doing before entering the trade.
Penunjuk Pine Script®
oleh Legacy_Money
Linear GANN Levels - Adib NooraniHello Guys This Script is created for plotting the GANN numbers on charts. These levels work as dynamic support and resistance. You don't need to worry about levels being used multiple times, or strength of the levels. These are pre-calculated mathematical levels, based on W. D. Gann logic. Buy Setup Wait for bullish patterns on the levels and trade as per pattern rules Sell Setup Wait for bearish patterns on the levels and trade as per pattern rules Risk Don't risk more than 1% of the capital per trade Trading Hours Always trade high liquidity areas, like first 2 hours of market open or session open Instruments Works on all the instruments through out the financial world, results are better if used on candlesticks Bullish Candlestick Patterns - Bullish Engulfing, Hammer, Morning Star Bearish Candlestick Patterns - Bearish Engulfing, Inverted Hammer, Evening Star These patterns are enough to trade the GANN levels
Penunjuk Pine Script®
oleh AdibNoorani
4
Candle DNA Morphology | AnonycryptousCandle DNA Morphology | Anonycryptous Description & user manual Why is this indicator different: Most candle analysis tools work with names. They look at a candle and call it an engulfing, a hammer, a doji, a shooting star. They compare shape against a fixed template and fire a signal when the match is close enough. The problem is that names are approximations. A hammer in a trending market is not the same as a hammer at a structural level with elevated volume. A name cannot capture that. A fixed template cannot either. Candle DNA Morphology works differently. It does not use names. It does not use templates. It compares the current candle to every historical candle within a configurable lookback window and finds the one that is mathematically closest — across up to eight normalized dimensions simultaneously. Body size, wick proportions, body position within the range, relative volume, candle size relative to recent volatility, trend alignment, and structural context. Then it tells you what happened after that historical candle, directly on the chart, with a single marker you can hover. Other tools that use candle similarity show you statistics. Continuation rates. Reversal percentages. Tables to read and interpret. You still have to decide what the numbers mean and whether they matter right now. Candle DNA Morphology does not show you statistics. It shows you a signal — the exact historical candle that matched, marked on the chart, with the date, the score, the direction, the R value, the percentage move, and the price move of what followed. No table to interpret. No calculation required. The information is in the hover. The score tells you how close the match was. The tier tells you how rare it is. The color tells you the direction. Everything else is in the tooltip. Important notice Candle DNA Morphology generates signals based on historical pattern similarity and price behavior. These signals are not financial advice. They do not predict the future. They do not guarantee profitability. The outcome values shown — R, percentage, and price — are historical measurements from the matched candle in the past. They reflect what happened then, on that instrument, at that price level. The market may behave differently now. Similar candles can produce different results. These values are context, not certainty. All trading decisions are made entirely by the user. Always manage your own risk. Always apply your own judgment. 1. Overview Candle DNA Morphology is a candle fingerprint matching indicator built around the mathematical similarity between the current candle and historical ones — and what those historical candles preceded. What it includes: - Up to 8-dimensional candle fingerprint matching using Euclidean distance - Configurable lookback window from 50 to 1000 bars - Three signal quality tiers: standard, elite, and ultra - Hoverable triangle markers on signal bars with full match details in the tooltip - Diamond marker and vertical line on the exact historical matched candle - Configurable cooldown between signals to prevent clustering - Signal mode selector: current bar, match bar, or both - Dynamic score normalization — score stays 0-100 regardless of how many dimensions are active - Vertical signal line and background glow on qualifying bars - Live dashboard with score bar, tier, bias, match date, outcome in R / percentage / price, cooldown countdown, active dimensions, and ATR - All times displayed in the timezone you select in the dashboard settings - Four alerts: bull match, bear match, elite match (90+), ultra match (95+) 2. How the fingerprint works Every candle is described by a set of normalized values between 0 and 1. These values capture the shape and context of the candle without using price or time units — which is what makes the engine self-calibrating across instruments and timeframes. The five core dimensions are always active: Body ratio. The size of the body relative to the total candle range. A full-body candle scores near 1. A doji scores near 0. Upper wick. The upper wick as a proportion of the total range. A long upper wick scores high. A candle with no upper wick scores 0. Lower wick. Same logic for the lower wick. Body position. Where the body sits within the range — 0 is at the bottom, 1 is at the top. A bullish candle with a close near the high scores near 1. A bearish candle with a close near the low scores near 0. Relative volume. Volume divided by the 20-bar average, capped at 3x and normalized. A spike at 2x average scores higher than a quiet bar at 0.8x. Three optional dimensions can be enabled independently: Atr percentile (dimension 6). How large the current candle is relative to recent volatility. Measures the candle range against the 14-bar ATR, normalized to a 0-2x cap. A large candle matches better with historically large candles. Trend alignment (dimension 7). How far the close sits above or below EMA 21, normalized to the ATR. A bullish candle well above the EMA matches better with historical bullish candles that were also above the EMA. Candle context (dimension 8). The relationship between the current candle and the previous one. Inside bars score 0. Outside bars score 1. Normal bars score 0.5. This dimension helps the engine recognize structural setups like inside bar breakouts. 3. Scoring and tiers Similarity is measured using Euclidean distance — the straight-line distance between two candles in multi-dimensional space. The closer two candles are in this space, the more similar they are. The maximum possible distance scales automatically with the number of active dimensions, so the score always ranges from 0 to 100 regardless of configuration. A score of 100 would mean a perfect match across all active dimensions. A score of 70 means a strong structural similarity. A score of 95 or above is exceptionally rare. Three tiers determine how signals are displayed: Standard (70-89). Green for bull, red for bear. The match is meaningful but not uncommon. Elite (90-94). Gold marker with a star prefix ★. The match is close enough to be notable. These appear infrequently. Ultra (95+). Cyan marker with a diamond prefix ◈. A near-identical historical candle was found. Very rare. When one fires, it is worth attention. 4. Understanding the signal When a signal fires, two things appear on the chart depending on your signal mode setting. A triangle on the current bar points in the direction the market moved after the historical match — up for a bullish outcome, down for a bearish one. Hovering the triangle with your cursor or S-Pen shows the full match details: the date and time of the historical candle, the score, the tier, the bias, the outcome in R, and the R value. When a signal fires, two dotted lines and a vertical connector appear on the chart. The first dotted line runs horizontally from the signal bar close — this is the entry reference level, the price from which all R, percentage, and dollar measurements are calculated. The second dotted line shows the target level — where the market would reach if the historical outcome repeats. A vertical connector at the end of the forward window closes the structure. All three lines run exactly as many bars as your forward outcome setting. The target level is calculated using the current ATR, not the historical ATR from the matched candle. This makes it relevant to the current market conditions. Hovering the target line shows both values — the target using the current ATR and the target using the historical ATR — so you can see how much volatility has changed between then and now. If the current ATR is significantly higher than the historical ATR, the target is further away than it was in the original setup. If it is lower, the target is closer. A diamond and a vertical line on the historical matched candle shows you exactly which bar was used as the reference. The line runs through the full range of that candle so there is no ambiguity about which bar matched. The color follows the signal tier. In addition to the dotted lines, the indicator can draw historical projection candles to the right of the signal bar. This feature is off by default and can be enabled in the visuals settings. When enabled, candles appear to the right of the signal bar showing the exact OHLC of the bars that followed the historical matched candle. Each candle has a body and centered wicks, drawn in the tier color of the signal. They scale correctly with chart zoom. A small label above the first candle reads "Historical projection" to make it immediately clear that these are historical bars, not predictions. The number of projection candles follows your forward outcome setting. Body transparency and wick transparency are independently configurable in settings. The bias shown in the dashboard and the tooltip is the direction the market moved after the matched candle — not a prediction of what will happen now. It is historical context, not a guarantee. All times shown in this indicator use the timezone you select in the dashboard settings. The default is UTC. Set it to your local timezone — for example UTC+2 for Amsterdam, UTC-4 for New York, UTC+9 for Tokyo — and all match times will display in your local time automatically. 5. Understanding the outcome values The dashboard and tooltip show three outcome measurements for the historical matched candle. All three describe the same move — the price action in the bars following that historical candle — expressed in different units. Outcome (R). How far price moved after the matched candle, expressed as a multiple of the ATR at that historical bar. This is the primary measurement. It is instrument-independent and works the same on BTC, SOL, MNQ, or any other asset. A value of +2.4R means price moved 2.4 times the ATR upward in the forward window. Outcome (%). The same move expressed as a percentage of the close price at the matched candle. This gives a more intuitive sense of the magnitude for traders who think in percentage terms. Outcome (price). The same move expressed in the currency of the instrument. This is the raw price distance the market covered — for example, $1,075 on Bitcoin or $0.87 on SOL. This value is calculated using the ATR and close price at the historical match bar, not at the current price. The target line on the chart uses the current ATR rather than the historical ATR. This is intentional — the current ATR reflects how the market is moving right now, making the projected target more relevant to your actual trade. The historical ATR is still shown in the target line tooltip for reference, so you can see whether volatility has expanded or contracted since the original setup occurred. A large difference between the two ATR values means the market is in a different volatility regime than it was at the time of the match. An important note on the price value: this reflects the historical move at the time and price of the matched candle. If Bitcoin was at 60,000 when the match occurred and is now at 78,000, the same R move produces a larger dollar value today than it did then. The price outcome is historical context — it shows what that candle type led to in dollar terms at that moment, not what the current setup will produce now. This is not your personal risk-to-reward ratio. The R value gives you the historical move size. Your stop loss placement determines your actual R:R. 6. Bias and cooldown The bias shown in the dashboard reflects the outcome direction of the current best match. It shows bull when the matched historical candle was followed by an upward move, and bear when it was followed by a downward move. Bias changes when a new bar closes and the engine finds a different best match with a different historical outcome direction, or when the cooldown expires and a new signal fires pointing in a new direction. During cooldown, the dashboard shows — wait. The last match date and all three outcome values remain visible. No new signal fires until the cooldown bar count has elapsed. The cooldown countdown shows how many bars remain before the next signal is allowed, or ready when it can fire freely. Cooldown prevents signal clusters from forming on consecutive bars where the same setup repeats. On faster timeframes with many morphologically similar candles, a cooldown of 15 bars or more is strongly recommended. 7. Self-calibration All fingerprint dimensions are normalized to values between 0 and 1. Volume is measured relative to its own 20-bar average. Candle size is measured relative to the ATR. Trend alignment is measured in ATR units. There are no fixed price thresholds anywhere in the engine. This means the indicator adapts automatically to different instruments and timeframes. A BTC candle and an MNQ candle with the same proportional shape, same relative volume, and same relationship to their respective EMAs will produce the same fingerprint score — even though one trades at 78,000 and the other at 20,000. When switching instruments, only the min match score typically needs a small adjustment. SOL and other volatile assets produce more morphological variation, so a slightly lower score threshold (75-80) often works better. More structured instruments like futures perform well at 85-90. 8. Settings guide 8.1 Match engine Lookback window (bars). How many historical bars to scan for fingerprint matches. Range: 50-1000. Recommended: 500 on 1m-5m charts, 1000 on 15m and above. A larger window finds better matches but takes longer on lower timeframes. Min match score (0-100). The minimum similarity score required to fire a signal. 70-79 is standard, 80-89 is strong, 90-94 is elite, 95+ is ultra. Start at 85 and adjust from there. Cooldown between signals (bars). Minimum bars between signals. On a 5m chart, 15 bars equals 75 minutes. On a 1H chart, 15 bars equals 15 hours. Lower values produce more signals. Higher values enforce a minimum spacing between setups. Dimension 6 — Atr percentile. Adds candle size context relative to recent volatility. Recommended: on. Dimension 7 — Trend alignment. Adds EMA 21 directional context. Recommended: on. Dimension 8 — Candle context. Adds inside/outside bar structural context. Recommended: on. 8.2 Outcome filter Forward outcome (bars). How many bars after the historical match are used to measure the resulting move. Match this to your typical trade duration. On a 5m chart with 6 bars, the engine looks at 30 minutes of forward price action to determine the outcome direction and magnitude. Min outcome move (ATR x). The historical match only qualifies if the resulting move exceeded this ATR multiple within the forward window. Filters out matches where the historical candle led to no meaningful move. Recommended: 1.0-2.0. 8.3 Visuals Signal mode. Current bar only shows only the triangle. Match bar only shows only the diamond and vertical line on the historical candle. Both shows both simultaneously. Show score on marker. When on, the triangle displays the score as text. When off, the triangle is clean. Hover always shows the full details regardless. Signal bar background. Subtle glow on the signal bar in the tier color. Vertical signal line. A faint vertical box through the signal bar. Useful for identifying signal bars when zoomed out. Timezone. Select your local timezone from the dropdown. All match times in the dashboard and tooltips display in this timezone. Default is UTC. Amsterdam = UTC+2, London = UTC+1 (summer) or UTC, New York = UTC-4 (summer), Tokyo = UTC+9. 8.4 Dashboard Score bar — visual meter 0-100 in tier color. Tier — standard, ★ elite (90+), or ◈ ultra (95+). Bias — ▲ bull or ▼ bear, or — wait during cooldown. Match date — date and time of the historical matched candle in your selected timezone. Outcome (R) — price move after the match in ATR multiples with forward bar count. Outcome (%) — same move as a percentage of the historical close price. Outcome (price) — same move in currency units at the historical price level. Lookback — current lookback window setting. Min score — current minimum score setting. Cooldown — bars remaining until next signal, or ready. Dimensions — how many dimensions are active and which ones (ATR, EMA, CTX). ATR (14) — current ATR value. 9. Recommended starting settings For 1m-5m scalping: Lookback 500, min score 85, cooldown 15 bars, forward outcome 3 bars, min outcome move 1.0. For 15m-1H: Lookback 1000, min score 88, cooldown 8 bars, forward outcome 6 bars, min outcome move 1.5. For 4H and above: Lookback 1000, min score 90, cooldown 5 bars, forward outcome 4 bars, min outcome move 2.0. 10. How to use Load the indicator and set signal mode to both. This gives you the triangle on the current signal bar and the diamond with border box on the historical matched candle simultaneously. When a signal fires, hover the triangle with your cursor or S-Pen. Read the match date (UTC), score, bias, and outcome values. Then locate the diamond on the chart — the bordered box marks exactly which candle was matched. Look at what followed it on the chart. That is your reference. The three outcome values give you the same historical move in three different units. Use whichever is most natural for how you think about size. The R value is instrument-independent. The percentage gives quick context. The price value shows the raw historical distance. Watch the cooldown counter in the dashboard. When it shows ready, the next qualifying signal will fire without restriction. When it shows a bar count, the engine is waiting before it can fire again. If you see too many signals, raise the min match score or increase the cooldown. If you see too few, lower the min outcome move or reduce the min score. Candle DNA Morphology works best as a confluence tool. It tells you what the current candle morphology historically preceded. Your other indicators — levels, sessions, volume, trend — confirm whether the context justifies acting on it. 11. Disclaimer This indicator is provided for educational and informational purposes only. Nothing in this document constitutes financial advice or any form of recommendation. Trading financial instruments involves substantial risk of loss. Past performance is not indicative of future results. You may lose all of your invested capital. Anonycryptous accepts no responsibility or liability for any losses incurred as a result of using this indicator.
Penunjuk Pine Script®
oleh Anonycryptous
Candle Rejection Quality Planner [AGPro Series]Candle Rejection Quality Planner 🧠 Core Idea Is the rejection candle strong enough to create a valid planning context, or is it only a noisy wick? 📌 Overview / What it does Candle Rejection Quality Planner is a chart-first rejection candle decision tool designed to evaluate wick-led rejection without turning the chart into a generic candlestick signal map. The script identifies bullish and bearish rejection candles, scores their quality from 0 to 100, then tracks what happens next through a confirmation rail, failure edge, target-room guide, wick quality zone, compact labels, alerts, and a clean AG Pro planning panel. It does not predict future price movement, automate entries, print buy/sell commands, or replace broader market context. Its purpose is to help traders judge whether a rejection candle has enough structure to deserve attention. 🎯 Purpose & Design Philosophy This script was built to fill the gap between simple wick markers and broader reversal systems. Many traders can see a long wick. The harder question is whether that wick has enough close quality, candle range, participation, and follow-through potential to become useful context. The design supports a planner mindset: evaluate the candle, define the confirmation level, know where the idea weakens, and wait for the next state instead of reacting to every wick. ⚡ Why This Script Is Different Most tools focus on detecting a named candle pattern such as a pin bar, engulfing candle, or generic rejection marker. This script does NOT clone Pin Bar Quality Filter, Engulfing Candle Quality, Rejection Block Quality, order block logic, liquidity sweep logic, or a broad candlestick scanner. Instead, it focuses on the planning process after a rejection candle appears: quality score, confirmation rail, failure edge, target-room guide, and next-action state. The candle is not treated as an entry by itself. It is treated as a context that must prove itself. ⚙️ Methodology 1. Context Detection The script measures candle range, upper wick, lower wick, close location, and relative volume to detect wick-led rejection context. 2. Reference Mapping When a qualified rejection candle appears, the planner maps a wick quality zone, confirmation rail, failure edge, and target-room guide. 3. Reaction Evaluation The model updates the 0-100 Rejection Quality score as confirmation develops, pressure works against the candle, time passes, or price reaches the planning guide. 4. Visual Output The chart displays the wick zone, rail, guide lines, controlled labels, candle tint, alerts, and AG Pro panel. 🗺️ How to Read the Chart Zones = the rejected wick area of the qualifying candle. The zone is a candle-quality reference, not a support/resistance map. Labels = rejection context, confirmation, failure edge breaks, target-room completion, and sparse active-state markers. Colors = teal supports bullish rejection context, pink marks bearish rejection or failure pressure, yellow marks caution, and indigo marks confirmation review. Panel = a compact decision view showing Candle Side, Rejection Quality, Confirmation, Failure Risk, and Action. 🚦 Signals & States • Bullish Rejection → lower wick rejection with stronger close location and sufficient quality. • Bearish Rejection → upper wick rejection with weaker close location and sufficient quality. • Awaiting Confirmation → a qualified rejection exists, but price has not accepted beyond the rail. • Confirmed → price accepted beyond the confirmation rail. • Failure Edge Broken → the rejection context lost its defined failure edge. • Target Room Reached → price reached the planning guide mapped from the rejection context. 🔔 Alerts Logic Alerts can trigger when a qualified rejection candle opens a new context, when confirmation rail acceptance appears, when the failure edge breaks, when target room is reached, or when the active planner state changes. Alerts are attention markers. They are not trade instructions and do not imply a guaranteed outcome. 🧩 Confluence Logic The strongest planner states appear when wick dominance, close location, reasonable candle range, supportive volume, and confirmation beyond the rail align together. When those elements are weaker or delayed, the planner shifts toward monitor, weak confirmation, expired context, or invalidated state. 📊 When to Use • Price-action review around visible reaction candles • Liquid symbols where candle range and volume are readable • Intraday or swing charts where wick rejection can be evaluated with ATR context • Discretionary planning workflows that need confirmation and failure references ⚠️ When NOT to Use • Extremely low-liquidity symbols with unreliable candles • Very noisy low-timeframe charts where wicks appear randomly • News spikes where candle range is distorted • Situations where broader market structure is being ignored 🎛️ Key Inputs • Sensitivity → changes how selective the rejection engine is. • Minimum Rejection Quality → sets the 0-100 score required before a context appears. • Dominant Wick Share → controls how much wick dominance is required. • Close Location Quality → controls how strongly price must close away from the rejected wick. • Confirmation Window → controls how long the script waits for follow-through. • Failure Edge Buffer → defines the invalidation reference beyond the rejection wick. • Target-Room Guide R → draws the planning guide from rejection close to failure edge distance. • Visual settings → control zones, rails, labels, candle tint, panel location, panel theme, and font sizes. 🖥️ Interface & Visual Design The interface is intentionally compact and chart-first. The wick quality zone keeps attention on the candle that created the context. The confirmation rail and failure edge create a structured review path. The AG Pro panel summarizes the current state without covering the chart with a broad dashboard. 🧪 Practical Usage Workflow 1. Read the panel and identify the active candle side. 2. Check the wick quality zone and confirmation rail. 3. Watch whether price confirms, weakens, expires, or breaks the failure edge. 4. Use the target-room guide as a planning reference, not as a promise. 🔍 Interpretation Guidelines A stronger score means the rejection candle has cleaner wick dominance, better close location, a more useful candle range, and stronger participation support. A confirmed state means price has accepted beyond the rail according to the script rules. A failed state means the active rejection context lost its defined failure edge. 🚫 What This Script Is NOT • Not a prediction engine • Not financial advice • Not auto trading • Not guaranteed signals • Not a pin bar clone • Not an engulfing candle detector • Not a generic support/resistance or order block map ⚠️ Limitations & Transparency The script is rule-based and depends on candle structure, ATR, relative volume, and follow-through behavior. Different timeframes can change how rejection appears. Volatility spikes can distort candle range and failure distance. Symbols with unreliable volume may produce weaker participation readings. Outputs should always be interpreted within broader market structure, liquidity, volatility, and personal risk rules. 🧠 Market Context Notes Rejection candles often matter more when they appear near meaningful structure, after a directional push, or during a volatility expansion attempt. The script intentionally does not build a full structure map because its narrow job is candle rejection planning. 🧾 Use Case Examples When a candle prints a strong lower wick, closes high in its range, and then accepts above the confirmation rail, the planner may classify the context as ready for review. When a strong upper wick appears but price fails to move beyond the confirmation rail and later breaks the failure edge, the planner marks the context as invalidated. 🧱 System Philosophy AGPro Series tools are designed to convert visual market behavior into structured review states. This script follows that philosophy by turning a single rejection candle into a defined planning context with quality, confirmation, risk, and action fields. 🔐 Non-Promise Statement No script can provide certainty. No rejection candle guarantees continuation, reversal, or profitable execution. 📉 Risk Disclosure Trading involves risk. This script is for technical analysis and educational use only. Users remain responsible for their own analysis, position sizing, execution decisions, and risk management. This script does not provide financial advice or guaranteed trading outcomes. 📚 Educational Note Use the tool to study how rejection candles behave after they appear. The value is in structured observation, not automatic decision-making.
Penunjuk Pine Script®
oleh AGProLabs
Candle Body Volatility HistogramThis is a statistical analysis tool for TradingView designed to visualize the volatility of candle bodies. Unlike standard indicators that focus on price levels, this one measures the "thickness" of the candle ($|Open - Close|$) and determines how significant a move is compared to recent history.Here is the overview of the Candle Body Volatility Histogram:1. Core Logic: Statistical Body AnalysisThe script applies the concept of Standard Deviation (Sigma)—commonly used in Bollinger Bands—directly to the size of the candle bodies.Body Size ($|Open - Close|$): It ignores the wicks and calculates the pure strength of the close.Average Body (SMA): The yellow line represents the "normal" size of a candle over the lookback period (default: 20).Sigma Levels (1σ, 2σ, 3σ): These lines act as thresholds to identify statistically unusual price action.2. Visual ComponentsThe indicator appears in a separate sub-window with the following elements:ElementDescriptionHistogram (Bars)Color-coded based on the candle type: Lime for Bullish, Red for Bearish.Yellow LineThe Average Body Size. If bars are below this, the market is quiet.Sigma 1, 2, 3 LinesBlue-toned lines showing increasing levels of volatility.Blue Background FillHighlights the area between Sigma 2 and Sigma 3, marking the "Extreme Volatility Zone."
Penunjuk Pine Script®
oleh tarotaro_n
Morning & Evening Star Detector [SSFX]Morning & Evening Star Detector is an open-source candlestick pattern indicator designed to identify two classic 3-candle reversal formations: the Morning Star and the Evening Star. The Morning Star is a bullish reversal pattern that typically appears after bearish pressure. The indicator identifies it using a 3-candle structure: A strong bearish first candle A small-bodied middle candle, representing hesitation or loss of momentum A strong bullish third candle that closes back into the body of the first candle The Evening Star is the opposite bearish reversal pattern. It is detected when the market forms: A strong bullish first candle A small-bodied middle candle A strong bearish third candle that closes back into the body of the first candle To make the patterns easier to read on the chart, the script automatically draws a box around the full 3-candle formation: Green box = Morning Star Red box = Evening Star The box covers the full high-to-low range of the entire pattern, helping traders visually study where the reversal structure formed. Main features: Detects Morning Star bullish reversal patterns Detects Evening Star bearish reversal patterns Draws visual boxes around valid 3-candle patterns Green highlight for Morning Star formations Red highlight for Evening Star formations Optional labels for detected patterns Optional background highlighting Adjustable candle body percentage filters Adjustable middle candle size filter Adjustable third candle close requirement Optional gap requirement for more traditional pattern detection Built-in alert conditions for both pattern types The pattern logic is fully customizable. Users can adjust the required body size of the first candle, the maximum body size of the star candle, the minimum body size of the confirmation candle, and how deeply the third candle must close into the first candle’s body. The optional gap setting is included for traders who prefer a more classical definition of Morning Star and Evening Star patterns. Since many markets such as forex, gold, crypto, and index CFDs often do not produce clean session gaps, the gap requirement can be turned off for more flexible detection. This indicator is intended for educational and analytical use. It does not predict future price movement and should not be used as a standalone trading system. Morning Star and Evening Star patterns are best interpreted together with market structure, support and resistance, trend context, volume, and proper risk management.
Penunjuk Pine Script®
oleh SimplySafeFx
Vector Sniper Pro Vector Sniper Pro V3 | Session Edge Overview Vector Sniper Pro V3 is a multi-layered signal detection system built around four core concepts: institutional order flow, smart money manipulation patterns, volume-weighted momentum, and inter-session directional bias. It paints candles to reflect signal state — no separate panel required. Core Signal Engine The foundation is a volatility-normalized momentum filter. Each bar is scored using a Z-score of ATR(1) against a rolling mean and standard deviation — this isolates bars where volatility is statistically elevated above baseline noise rather than simply "large." Volume is scored the same way. A signal requires both to exceed their respective thresholds simultaneously, filtering out high-volume low-range bars (absorption) and high-range low-volume bars (false breakouts) from the primary vector set. Delta volume is approximated by weighting bar volume by the close position within the range: bull volume = volume × (close − low) / range, bear volume = volume × (high − close) / range. The delta ratio (net delta / total volume) must confirm directional conviction, requiring >0.2 for bull signals and <−0.2 for bear. This proxy for order flow imbalance eliminates candles where volume was present but directionally uncommitted. Structure Break Requirement Rather than using a raw N-bar highest/lowest comparison, the script identifies confirmed swing points — a pivot high requires the bar to be higher than the two bars on each side. Price must close beyond the most recent confirmed swing high (for bulls) or swing low (for bears) to qualify as a structure break. This reduces false signals during consolidation where price repeatedly tests but never genuinely breaks a level. Smart Money / Manipulation Detection Five manipulation signatures are detected independently and fed into the scoring system: Stop Hunt: Price spikes below the N-bar low (or above the N-bar high) then immediately closes back in the opposite direction with elevated volume — characteristic of liquidity sweeps before reversal. Absorption: High volume Z-score but very low ATR Z-score (range < 0.5 SD). When volume is present but range is compressed, large participants are absorbing retail orders rather than moving price. Wick Rejection: A wick exceeding a configurable percentage of the total bar range, combined with volume above the 20-bar average — institutional rejection at a level. Cumulative Delta Divergence: Price makes a new N-bar high but the current delta is lower than the prior period's highest delta (distribution). Conversely, price makes a new low while delta is rising (accumulation). This is the most reliable leading indicator of manipulation in the system and carries the highest score weight (2.0 points). RSI Divergence: Price makes a new 14-bar extreme while RSI fails to confirm, indicating momentum exhaustion. Pre-Signal Scoring System Before a full vector fires, each bar receives a weighted composite score (maximum ~14 points) across 13 factors: Factor Weight Spring / Upthrust (Wyckoff) 2.0 Cumulative Delta Divergence 2.0 RSI Divergence 1.5 Stop Hunt detection 1.5 VWAP + EMA trend alignment 1.5 Session bias alignment 1.5 (configurable) Fade of prior session level 1.5 No Supply / No Demand (VSA) 1.0 Delta imbalance ratio 1.0 Near structure break zone 1.0 Break of prior session level 1.0 Volume ratio > 1.2× average 0.5 Bar direction (close vs open) 1.0 A pre-signal requires the score to meet a configurable minimum threshold and to appear N times within a rolling M-bar window, preventing single-bar spikes from triggering. A cooldown period prevents signal clustering, and a hysteresis lock prevents rapid directional flipping. Session Edge System The script tracks live OHLC for Asia (20:00–02:00 ET), London (02:00–08:00 ET), NY Pre-Market (04:00–09:30 ET), NY Regular (09:30–16:00 ET), and NY After-Hours (16:00–20:00 ET). All times and timezone are configurable. When a session closes, its high, low, midpoint, and directional close (green or red) are stored. During the following session: Prior session levels (H/L/Mid) are plotted as reference lines — yellow for Asia levels during London, aqua for London levels during NY. Session bias activates based on the closing direction of the prior session. A green Asia close generates a bull bias for London; a red Asia close generates a bear bias. The same logic applies London→NY. Bias adds configurable weight to the scoring system and can optionally hard-block counter-trend signals. Level interaction detection fires when price touches a prior session level: a fade signal requires a wick rejection back through the level with volume; a break signal requires a close through the level with volume. Both feed the scoring system. Live hit-rate table (toggle-able) tracks how often the prior session's direction correctly predicted the current session's direction — validated on your specific instrument and timeframe in real time rather than relying on aggregate statistics. Candle Color System Color Meaning Neon green Bull vector (base condition met) Red Bear vector White Confirmed bull trend change (regime flip + extreme conditions) Purple Confirmed bear trend change Blue Pre-bull signal (score threshold met, not yet full vector) Orange Pre-bear signal Dark green (faint) Regular bull reversal (regime flip, standard strength) Dark purple (faint) Regular bear reversal Grey No qualifying condition How to Use The indicator is designed to be used on any liquid instrument with real volume data. Session times are set for US Eastern Time by default — adjust the timezone input for your exchange. Start with candle colors only (all markers off by default). Enable the hit-rate table to validate whether the Asia→London and London→NY bias is statistically meaningful on your specific symbol before relying on it. Enable prior session levels to identify the key prices where fade and break decisions occur. The pre-signal (blue/orange) candles appear before a full vector fires and can be used for earlier entries with the understanding that confirmation has not yet occurred. All inputs have been grouped and labelled to allow systematic adjustment: tighten the Z-score thresholds to reduce signal frequency, raise the minimum score to require stronger multi-factor confluence, and use the cooldown and hysteresis settings to control how often the system can re-trigger in the same direction.
Penunjuk Pine Script®
oleh RickyTSpanish
Apex Price Patterns & Candlestick Engine [Pineify]Apex Price Patterns & Candlestick Engine Apex Price Patterns & Candlestick Engine combines EMA trend context, confirmed swing structure, and selected candlestick formations. It filters pattern labels by regime: bullish patterns print only when the fast EMA is above the slow EMA, and bearish patterns print only when the fast EMA is below the slow EMA. Key Features Fast/slow EMA filter for bullish, bearish, or neutral trend state Confirmed HH, HL, LH, and LL labels from pivot highs and lows Trend-aligned hammer, shooting star, engulfing, morning star, and evening star labels Trend candle coloring, EMA plots, dashboard, and alerts How It Works The script calculates a fast EMA and slow EMA . Their relationship defines trend state and controls candle coloring, the dashboard, and signal eligibility. Market structure comes from ta.pivothigh() and ta.pivotlow() . A swing confirms only after the selected number of bars has passed on both sides, creating a known delay but keeping labels stable. Pivot highs mark HH or LH; pivot lows mark HL or LL. The candle engine measures range, body width, wick percentages, and average body size. Wick/body imbalance detects hammers and shooting stars. Engulfing logic requires an opposite-color prior candle and meaningful current body. Morning and evening stars use a three-candle sequence. How the Components Work Together EMA trend defines bias, pivots define structure, and candle patterns provide timing. A bullish label after an HL in an EMA uptrend may highlight a pullback rejection. A bearish label after an LH in an EMA downtrend may highlight a failed rally. Trading Ideas and Insights Use bullish labels near HL structure as possible trend-continuation context Use bearish labels near LH structure as possible downtrend-continuation context Compare HH/HL or LH/LL sequences against the EMA state to spot agreement or conflict Signals are context aids, not standalone trade instructions. Unique Aspects Pattern labels are trend-filtered instead of printed everywhere Structure uses confirmed pivots rather than raw highs and lows Trend, latest structure, and EMA relationship are summarized together How to Use Add the indicator and check the dashboard trend state Read recent HH/HL/LH/LL labels to judge structure Watch for trend-aligned candle labels near recent swing areas Set alerts for pattern or structure events Customization Fast EMA Length (default: 20) — Short trend filter; lower values react faster Slow EMA Length (default: 50) — Baseline trend filter; higher values change slower Swing Pivot Length (default: 10) — Bars required on both sides of a swing Visual Toggles — Show or hide labels, candle coloring, and dashboard Conclusion This indicator is for traders who read trend, structure, and candles together. Its value is showing when EMA direction, confirmed pivots, and proportion-based candlestick patterns are aligned.
Penunjuk Pine Script®
oleh Pineify
Torque Momentum Oscillator [JOAT]Torque Momentum Oscillator Introduction The Torque Momentum Oscillator is a sub-chart composite momentum engine that synthesizes four independent momentum perspectives into a single normalized 0–100 oscillator. Rather than relying on any one momentum calculation, it blends a stochastic-range oscillator, two RSI variants at different cycle lengths, and a Bollinger Band position reading into a weighted composite score — then colors the histogram on a gradient that instantly communicates whether momentum is building or exhausting. The philosophy behind TMO is that any single momentum indicator can be fooled by choppy markets or unusual price action. When four different momentum frameworks all agree, the composite reading carries genuine conviction. When they diverge, the composite score gravitates toward the midline — a built-in disagreement signal that keeps you from over-committing to a directional bias. Core Concepts Component 1 — RSV (Raw Stochastic Value) The RSV is a stochastic-style reading of where close sits within the highest high and lowest low range over the lookback period, smoothed with an SMA to reduce noise: float hiRange = ta.highest(high, rsvPeriod) float loRange = ta.lowest(low, rsvPeriod) float rsvRaw = safeDiv(close - loRange, hiRange - loRange, 0.5) * 100.0 float rsvLine = ta.sma(rsvRaw, rsvSmooth) The RSV line is also plotted independently as a fast overlay on the oscillator, giving it a secondary use as a crossover signal generator. When RSV crosses above 20, an Opportunity label fires. When it crosses back below 80, a Risk label fires. Component 2 — RSI Fast The standard Wilder RSI at the fast period (default 14) captures short-cycle momentum velocity. It contributes a responsive directional reading without being so short that it becomes noise. Component 3 — RSI Slow (Blackcat-Style) The slow RSI uses a blackcat-inspired manual construction: SMA of gains divided by SMA of absolute changes, rather than the standard Wilder smoothing: float rsiSlowVal = safeDiv( nz(ta.sma(math.max(close - prevClose, 0.0), rsiSlow), 50.0), nz(ta.sma(math.abs(close - prevClose), rsiSlow), 1.0), 0.5) * 100.0 This produces a longer-cycle momentum trend bias that is less sensitive to individual candle extremes, creating a smoother counterpart to the fast RSI. Component 4 — Normalized BB Position Bollinger Band position tells you where price sits in its statistical envelope: = ta.bb(close, bbLen, bbMult) float bbPos = math.max(0.0, math.min(100.0, safeDiv(close - bbLower, bbUpper - bbLower, 0.5) * 100.0)) At 100 price is at the upper band. At 0 it is at the lower band. At 50 it is exactly at the basis. This adds a volatility-relative momentum reading to the composite. Weighted Composite Score All four components are blended using user-configurable weights that are automatically normalized to sum to 1.0: float wSum = wRsv + wRsiF + wRsiS + wBB float composite = (rsvLine * (wRsv / wSum) + rsiFastVal * (wRsiF / wSum) + rsiSlowVal * (wRsiS / wSum) + bbPos * (wBB / wSum)) Default weights: RSV 35%, RSI Fast 25%, RSI Slow 25%, BB Position 15%. Gradient Histogram Coloring The histogram is colored on a gradient that transitions from full bear red near 0 to transparent near 50, then from transparent bull green near 50 to full bull green near 100. This produces an immediate visual sense of momentum intensity — a faint histogram near midline means indecision, a saturated histogram near the extremes means conviction. Features Four-component weighted composite oscillator: RSV + RSI Fast + RSI Slow + BB Position RSV component double duty: used in composite and plotted as independent fast line Gradient histogram — color intensity scales with momentum conviction Overbought (default 75) and oversold (default 25) zones with gradient fills RSV Opportunity label when RSV crosses above 20 — potential upswing signal RSV Risk label when RSV crosses below 80 — potential downswing signal Per-component weight controls — customize the blend to your trading style Midline reference at 50 and dashed OB/OS lines Dashboard showing composite, RSV, RSI Fast, RSI Slow, BB position, and last signal Auto dark/light theme detection Alerts for Opportunity, Risk, entering Overbought, and entering Oversold Webhook JSON alert format for automation Watermark Input Parameters Oscillator Settings RSV Period — lookback for the stochastic range calculation (default 20) RSV Smoothing — SMA length applied to raw RSV before use (default 3) RSI Fast Period — short-cycle RSI length (default 14) RSI Slow Period — long-cycle blackcat-style RSI length (default 24) BB Period — Bollinger Band lookback (default 20) BB Multiplier — standard deviation multiplier for BB width (default 2.0) Composite Weights RSV Weight — relative weight of the stochastic component (default 0.35) RSI Fast Weight — relative weight of the fast RSI (default 0.25) RSI Slow Weight — relative weight of the slow RSI (default 0.25) BB Position Weight — relative weight of the BB position reading (default 0.15) Visual Settings Overbought Level — upper threshold for OB zone and gradient fill (default 75) Oversold Level — lower threshold for OS zone and gradient fill (default 25) Show RSV Signals — toggles Opportunity and Risk label markers Theme — Auto, Dark, or Light Show Dashboard — compact panel with live component readings Dashboard Position — four corner options Show Watermark Colors Bull / Opportunity — color for bullish histogram bars and signal labels Bear / Risk — color for bearish histogram bars and signal labels RSV Line — color for the fast RSV overlay line RSI Fast — color for the RSI Fast overlay line How to Use Add TMO to your chart below price as a separate sub-pane oscillator. Watch the composite histogram for directional bias: readings above 50 favor longs, below 50 favor shorts. Use the OB zone (above 75) and OS zone (below 25) as caution areas — not automatic reversal signals, but places where momentum is stretched and a mean reversion or consolidation becomes more likely. Use Opportunity labels (RSV crossing above 20) as early warning that the stochastic component is turning up from deeply oversold — look for price confirmation before acting. Use Risk labels (RSV crossing below 80) as early warning of a potential momentum rollover from overbought. Check the dashboard to see exactly which components are driving the composite reading. If RSV and RSI Fast are both high but BB Position is low, the composite may not tell the full story. Adjust the component weights in settings to emphasize the momentum style that best suits your market. For crypto, increasing RSV weight can be effective. For equities, RSI Slow weight can provide a smoother signal. Indicator Limitations The composite is a weighted average and can only be as accurate as the components that feed it. In strongly trending markets with low volatility, RSV and BB Position can both hover near extremes for extended periods — the composite will look overbought even when trend continuation is the correct read. RSV Opportunity and Risk signals are generated by a single component (RSV) and should not be used in isolation as trade entries. They are high-probability turning-point flags that require price action confirmation. Warmup bars are required before the oscillator becomes reliable. The indicator suppresses output until sufficient history is available. This is a momentum indicator, not a trend direction indicator. It works best in liquid, active markets and may generate false signals during low-volume chop. Originality Statement The Torque Momentum Oscillator is an original Pine Script v6 publication. The architecture of combining RSV (stochastic-range), dual RSI cycles at different periodicities, and normalized Bollinger Band position into a single dynamically-weighted composite is an original design. The blackcat-style SMA-based RSI slow construction is an adapted technique included for its distinct noise characteristics, with full attribution. The gradient histogram coloring, RSV crossover signal system, and dashboard layout are original implementations built specifically for this publication. Disclaimer This indicator is for educational and informational purposes only. It does not constitute financial advice. Momentum readings are not predictions of future price direction. Always use proper risk management and never risk more than you can afford to lose. -Made with passion by jackofalltrades
Penunjuk Pine Script®
oleh officialjackofalltrades
MTF Matrix Strategy **MTF Matrix & Hybrid Strategy V2: Smart Trend & Ambush System** > **⚠️ DISCLAIMER:** *This script and the following explanations are strictly for educational and algorithmic coding purposes. It is NOT financial or investment advice. Always backtest strategies thoroughly and apply your own risk management before using them in live markets.* This strategy is designed to eliminate overtrading and only enter the market during the highest-probability moments. It strips away the noise of complex charts: it identifies a strong trend, waits for a discount, and protects your capital with a mathematical armor. **How Does It Work? (3 Simple Steps)** 1. **Confirms the Direction (Trend Filter):** The system first checks the 5, 8, and 13 Simple Moving Averages (SMA). If they are aligned perfectly (5 > 8 > 13), it confirms a strong uptrend and activates its "Long-only" mode. 2. **Sets the Ambush (The Pullback):** A smart trader never buys the top (No FOMO). This strategy waits for the price to cool down and pull back to the **SMA 8** baseline. This specific zone is defined as the "Ambush Area". 3. **Pulls the Trigger (Candle Confirmation):** Once the price drops into the ambush zone, the system doesn't buy blindly. It waits for visual proof of a reversal using Price Action. It executes the trade only if it detects a valid reversal pattern like a Pin Bar, Engulfing, Doji, or Morning Star. **How Does It Manage Risk? (Hybrid Exit Mechanism)** Entering a trade is only half the battle; keeping the money is the real challenge. The system uses a two-layered defense: * **Step-by-Step Profit Locking (D-Levels):** The algorithm calculates invisible Fibonacci targets (D1, D2, D3...) based on the Higher Timeframe (HTF). As the price climbs and breaches these levels, the system automatically trails your stop-loss up to the previous level, locking in your profits step-by-step. * **Dynamic Trailing Stop (The Safety Net):** Just in case of sudden market crashes, it maintains a dynamic trailing stop based on a percentage (e.g., 2%) below the highest seen price. As the peak rises, the stop rises. If the price drops by that percentage, it closes the trade to secure gains or minimize losses. **Customizable Features (Inputs)** * **Ambush Sensitivity (ATR %):** Adjust how close the price needs to get to the moving average before triggering an entry. Widen or narrow the zone based on market volatility. * **Price Action Filters:** Toggle specific candlestick patterns on or off based on your personal preference. * **Live Dashboard:** A sleek panel on the top right gives you real-time visibility of your current stop price, HTF targets, and trade status at a single glance. --- ### 🇹🇷 TÜRKÇE AÇIKLAMA **MTF Matrix & Hybrid Strategy V2: Akıllı Trend ve Pusu Sistemi** > **⚠️ YASAL UYARI:** *Bu strateji kodu ve aşağıdaki açıklamalar tamamen algoritmik düşünce yapısını incelemek ve kodlama eğitimi amacıyla hazırlanmıştır. Kesinlikle finansal veya yatırım tavsiyesi (YTD) değildir. Gerçek piyasalarda işlem yapmadan önce sistemin matematiğini anlayın, test edin ve kendi risk yönetiminizi uygulayın.* Bu strateji, piyasada sürekli işlem yapma hastalığını ortadan kaldırmak ve sadece "en güvenli" anlarda oyuna dahil olmak için tasarlanmıştır. Karmaşık grafik analizlerini bir kenara bırakır; güçlü bir trend bulur, fiyatın ucuzlamasını bekler ve kârı matematiksel bir zırhla korur. **Sistem Nasıl Çalışır? (3 Basit Adım)** 1. **Yönü Teyit Eder (Trend Filtresi):** Sistem ilk olarak 5, 8 ve 13 günlük Basit Hareketli Ortalamalara (SMA) bakar. Eğer bu üçü kusursuz bir sıraya dizilmişse (5 > 8 > 13), piyasanın güçlü bir yükseliş trendinde olduğunu anlar ve sadece "Alım" (Long) yönlü fırsat aramaya başlar. 2. **Pusuya Yatar (Geri Çekilme):** Usta bir avcı avının üzerine koşmaz, bekler. Bu strateji de fiyatlar zirvedeyken alım yapmaz (FOMO'yu engeller). Fiyatın, trendin dinlenme bölgesi olan **SMA 8** çizgisine doğru geri çekilmesini bekler. Bu bölge sistemin "Pusu Alanı"dır. 3. **Tetiği Çeker (Mum Onayı):** Fiyat pusu alanına geldiğinde sistem körü körüne alım yapmaz. Dönüşün başladığını kanıtlayan bir Price Action (Fiyat Hareketi) mumu arar. Pin Bar, Yutan Mum (Engulfing), Doji veya Sabah Yıldızı formasyonlarından birini gördüğü an işleme girer. **Riski Nasıl Yönetir? (Hibrit Çıkış Mekanizması)** İşleme girmek işin sadece yarısıdır, asıl marifet parayı korumaktır. Sistem bu noktada devreye iki katmanlı bir zırh sokar: * **Adım Adım Kâr Kilitleme (D-Seviyeleri):** Sistem, üst zaman diliminden (HTF) aldığı verilerle görünmez Fibonacci hedefleri (D1, D2, D3...) çizer. Fiyat yükselip bu hedefleri aştıkça, zarar kes (stop-loss) seviyenizi bir alt kademeye taşır. Böylece kazandığınız kârı piyasaya geri vermezsiniz. * **Dinamik İzleyen Stop (Emniyet Kemeri):** İşler ters giderse diye, fiyatın gördüğü en yüksek zirveden belirlediğiniz bir yüzde (örn: %2) gerisine dinamik bir stop koyar. Zirve yükseldikçe stop da yükselir; fiyat aniden %2 düşerse işlemi kârla veya minimum zararla kapatır. **Kullanıcı Dostu Özellikler (Ayarlar)** * **Pusu Hassasiyeti (Ambush Sensitivity):** Fiyatın ortalamaya ne kadar yaklaşması gerektiğini ayarlarsınız. Piyasaya göre alanı daraltıp genişletebilirsiniz. * **Fiyat Hareketi (PA) Filtreleri:** İstemediğiniz mum formasyonlarını ayarlardan kapatıp sadece güvendiklerinizle işlem yapabilirsiniz. * **Bilgi Panosu (Dashboard):** Sağ üst köşedeki şık panel sayesinde anlık stop seviyenizi, hedeflerinizi ve piyasa durumunu tek bakışta görürsünüz.
Strategi Pine Script®
oleh Okeefe06
Volumetric Structure Engine [JOAT]Volumetric Structure Engine Introduction The Volumetric Structure Engine is an institutional market structure tracker that fuses swing-point classification with real-time buy/sell volume delta analysis. Every confirmed swing high and swing low is measured not only by price, but by the net volume composition of the leg that produced it — revealing whether a structural move was driven by genuine institutional buying or selling, or whether it was a low-conviction, thin-volume probe. The indicator classifies market structure as HH/HL (bullish) or LH/LL (bearish), detects Break of Structure (BOS) and Change of Character (ChoCH) events on bar close, and renders each swing zone with a color gradient that reflects the underlying volume delta of that leg. The core problem this solves: most market structure tools draw lines or arrows at swing points but say nothing about the quality of that swing. A break of structure on rising volume is categorically different from one on declining volume — the first signals institutional participation, the second suggests a liquidity grab. VSE quantifies that difference on every bar. Core Concepts 1. Non-Repainting Swing Detection Swings are confirmed using a lookback comparison pattern that resolves only on bar close: float H = ta.highest(high, i_len) float L = ta.lowest(low, i_len) bool new_sh = high == H and high < H bool new_sl = low == L and low > L A swing high at bar N-1 is confirmed when bar N closes lower, meaning the prior bar's high was the highest in the lookback window. This approach never repaints because it always references the closed bar to the left. 2. Volume Delta Accumulation Per Leg Between each confirmed swing, running buy and sell volume totals accumulate. On each bar, if close >= open the bar's volume is classified as buy-side; otherwise it is sell-side. When a new swing is detected, the accumulated totals are saved to that swing node, and the counters reset for the next leg: if new_sh or new_sl run_buy := 0.0 run_sell := 0.0 if close >= open run_buy += volume else run_sell += volume The delta percentage (buy minus sell divided by total volume) determines the color and transparency of each swing zone box. A leg with 80% buy delta renders as a vivid bull green; a leg with 20% buy delta renders as a vivid bear red. Neutral legs render in the neutral color. 3. BOS and ChoCH Detection Break of Structure fires when confirmed price closes through the most recent confirmed swing extreme in the opposite direction. Change of Character fires when the first break occurs against the established trend — the earliest signal that the dominant structure may be shifting. Both signals are barstate.isconfirmed, preventing any lookahead. 4. Structure Cloud A fill between the last confirmed swing high and swing low creates a visual structure range that updates dynamically. The cloud color matches the current trend direction and serves as an at-a-glance bias indicator for the session. Features Swing Zone Boxes: ATR-scaled zone boxes at every confirmed swing, colored by the net buy/sell delta of the producing leg Volume Delta Gradient: Zone colors range from deep bull green (high buy delta) to deep bear red (high sell delta), with transparency encoding conviction BOS Lines: Dashed horizontal lines drawn at the level where a Break of Structure closes, with text label ChoCH Highlight: Change of Character events highlighted with a distinct yellow-amber color to distinguish them from continuation BOS signals Structure Connection Lines: Lines connecting consecutive swing nodes, colored by the delta of each leg Structure Cloud: Gradient fill between the last swing high and low showing current structural range Candle Coloring: Optional candle tinting by current trend direction 9-Row Dashboard: Displays trend bias, last swing high/low price levels, structure range percentage, BOS bull/bear counts, ChoCH count, last leg delta percentage, and total swing node count Alerts: BOS bullish, BOS bearish, ChoCH bullish, ChoCH bearish Input Parameters Structure Detection: Swing Length: Lookback bars for swing high/low detection (default: 20, range: 5-200). Higher values identify fewer, stronger structural swings. Lower values are more reactive. Show BOS Lines: Toggle BOS line rendering (default: on) Show ChoCH: Toggle Change of Character highlighting (default: on) Structure Cloud: Toggle the fill between swing high and low (default: on) Visualization: Bullish / Bearish / Neutral / ChoCH colors: Fully customizable Zone Transparency: Control the base transparency of swing zone boxes (default: 78) Color Candles: Optional candle tinting by structural trend (default: off) Dashboard: Position: Top Right, Top Left, Bottom Right, Bottom Left (default: Top Right) How to Use This Indicator Step 1: Read the Current Structure The dashboard shows the current trend bias (BULLISH / BEARISH / NEUTRAL), the last confirmed swing high and low prices, and the structural range as a percentage. This gives you the directional context at a glance. Step 2: Interpret Zone Colors Zones colored in vivid green (high buy delta) represent legs driven by institutional buying. Zones colored in vivid red (high sell delta) represent institutional selling pressure. Faded or gray zones represent low-conviction legs — useful for identifying weak structure that is more likely to be swept. Step 3: Trade BOS and ChoCH Events A BOS in the direction of the existing trend is a continuation signal. A ChoCH (against the trend) is a structural shift signal and often marks the beginning of a reversal. Volume delta on the breaking leg adds conviction: a BOS on a high-buy-delta leg is more reliable than one on a low-delta leg. Step 4: Use Swing Zones as S/R Each swing zone box represents a price area where a structural pivot occurred. Institutional order flow often returns to these levels. High-delta zones in particular tend to act as meaningful support or resistance. Originality Statement This indicator is original in its combination of confirmed non-repainting swing structure with per-leg volume delta measurement. While market structure tools and volume analysis tools each exist independently, this indicator is justified because: Volume delta is computed per structural leg — not per candle and not as a global indicator — creating a direct mapping between market structure quality and institutional participation The swing confirmation method using the lookback comparison pattern eliminates repainting while maintaining responsiveness to genuine structural changes Zone color encoding with delta-driven gradient creates an immediate visual hierarchy — strong zones versus weak zones — without requiring separate panels or indicators BOS and ChoCH detection with volume delta context provides a more complete signal than either alone Limitations The buy/sell volume classification (close >= open = buy) is an approximation. True tick-level direction is not available in Pine Script. On very short timeframes where volume is sparse, classification may be imprecise Swing length selection significantly affects structure quality. Too short produces noise; too long misses intermediate structure. Users should calibrate to their timeframe and instrument BOS and ChoCH are confirmed on bar close, so they are identified one bar after the actual breakout candle closes. This is a deliberate trade-off for accuracy over speed The indicator does not predict direction — it classifies the current structural state. A bullish structure can break down without warning Disclaimer This indicator is provided for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any instrument. All trading involves risk of loss. Past structural patterns do not guarantee future results. Always use proper risk management. -Made with passion by jackofalltrades
Penunjuk Pine Script®
oleh officialjackofalltrades
3
BTC MTF Engulfing Flip + Pyramid Strategy (1H, 2X)BTC Flip Bot V2 — MTF Engulfing + SL-Flip + Pyramiding (BTCUSDT 1H) Author: Jagadeesh Manne Version: V2 (April 2026) A multi-timeframe trend-following strategy with SL-flip extension and pyramiding for BTC perpetual futures. V2 adds scaling into winners at +3R — same entries, same filters, but amplifies fat-tail trades. ⚠️ IMPORTANT: This strategy is tested and validated ONLY on BTCUSDT perpetual futures | 1H timeframe | 2× leverage. Do not apply to other pairs, timeframes, or leverage settings without independent testing. ⚠️ TradingView's chart timeframe affects how this strategy calculates. A red banner appears if the chart is not set to 1H — set the top-left TF to "1h" explicitly for results to match the published backtest. ⚠️ TradingView free/basic accounts cache only a limited number of bars (5K–20K). The TV backtest you see will cover only the most recent window of the full 6.5-year test. See the "Full backtest" section below for the authoritative Python numbers. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW IT WORKS Three timeframes must align simultaneously on a single 1H bar before a trade is taken: 🔹 DAILY — Trend Regime Close > 50-period EMA for longs (below for shorts). Macro trend safety gate — rejects ~50% of all signals that would trade against the dominant trend. 🔹 4H — Momentum Confirmation RSI(14) > 50 for longs (below for shorts). Medium-term momentum alignment. 🔹 1H — Entry Trigger (all 5 must be true on the same bar) • RSI(14) > 45 for longs / < 55 for shorts • MACD(12,26,9) line above/below signal line • Bullish or Bearish engulfing candle (body > prior body) — the core trigger • ATR(14) above 50-period average (volatility expanding) • Volume above 1.5× 20-period SMA (participation spike) Only ~1% of all engulfing candles pass all 7 filters across a 5-year period. This extreme selectivity is the edge. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ STOP LOSS & PARTIAL TP Main SL: Pattern-based (min of entry bar low + prior bar low, with 0.1% buffer). Capped at 2.5% from entry. Whichever is tighter wins. Partial TP (tuned April 2026): • At +6R favorable move, 15% of position closes • After partial TP, SL moves to entry + 0.1% (break-even + fee buffer) • Remaining 85% continues running with BE stop — captures fat-tail winners while protecting locked-in profit Why 15%@6R (not 30%@5R)? Grid-search on 5yr data showed this variant lifts CAGR +11 percentage points vs the previous 30%@5R partial, because a small partial lets the runner portion capture the full fat-tail move when a trend plays out. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SL-FLIP EXTENSION When main SL hits, the strategy queues an opposite-direction flip trade: • Waits 1 hour after SL hit (lets whipsaw settle) • Opens opposite direction with TIGHT 1.5% SL (vs main 2.5%) • SL placed at swing high/low from last 10 bars OR 1.5% cap from broken SL — whichever is tighter • No flip-on-flip cascade (prevents revenge trading) • 24-hour time-stop on flip positions • Flips respect DD halt + generic post-exit cooldown Flip trades add a meaningful contribution over the non-flip baseline while keeping max drawdown unchanged. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ PYRAMIDING (V2 — scale into winners) When a trade reaches +3R favorable, the strategy adds 50% more position size to ride the trend harder: • Trigger: price moves +3R in your favor (confirmed trend) • Add: 50% of original notional (total position becomes 150% of original) • On pyramid: original SL moves to break-even (protects base capital) • Max 1 add per trade (no stacking) • No pyramiding on flip trades (only on main entries) • Effective leverage: 2× normal → ~2.7× during pyramided trades Why pyramiding works here: This is a fat-tail system — ~5 trades per year run to +10R or higher. Pyramiding at +3R confirms the move is real before adding capital. The extra 50% rides the remaining +7R to +20R of the winner. Losers never get pyramided (they stop out before +3R). Impact (5yr backtest): Without pyramid (V1): $5K → $182K (+105% CAGR, PF 4.63) With pyramid (V2): $5K → $420K (+143% CAGR, PF 5.54) → +37pp CAGR, PF improves, DD barely changes (-20% vs -20%). Note: Requires exchange leverage ceiling of 4× (set once). The bot uses 2× normally and only scales to ~2.7× during the pyramid window of winning trades. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ EXIT RULES • Stop Loss hit → close (triggers flip if not already a flip) • Partial TP at +6R → close 15%, SL moves to BE+0.1%, rest runs • Opposite direction signal → close only (no flip-open on signals, only on SL) • Flip time-stop at 24h → close • Drawdown circuit breaker: -25% from peak halts all trading for 7 days ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ RISK MANAGEMENT • 2× leverage (tested at this level only) • Position sizing: notional = equity × leverage (deploys full leverage on each trade) • 24h same-direction cooldown after SL hit • 2h generic post-exit cooldown (any direction) • -25% drawdown halt pauses trading for 7 days • Flip trades use tighter SL (1.5%) + 24h time-stop ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ FULL BACKTEST (Python, Binance futures historical data) Period: September 2019 — April 2026 (~6.5 years) Starting capital: $5,000 Leverage: 2× Results (V2: 15%@6R partial + BE+0.1% + SL-flip + Pyramiding at +3R): Start → Final: $5,000 → $420,395 (+8,308%) CAGR: +142.8% Max DD: -20.3% Profit Factor: 5.54 Win Rate: 34.2% (25W / 48L) Total Trades: 73 (~15/yr) — 38 Long, 35 Short, 9 flips DD halts triggered: 0 V1 (without pyramiding) for comparison: Start → Final: $5,000 → $181,943 (+3,539%) CAGR: +105.3% | Max DD: -19.7% | PF: 4.63 | WR: 41.9% | 74 trades Tuning history (each change validated on 5yr data): • V5 baseline (no flip): +89% CAGR, PF 4.24, 43 trades • V6 + SL-flip: +97% CAGR, PF 4.20, 79 trades • V6 + BE-move after partial TP: PF 4.20 → 4.29 • V6 + 15%@6R partial: CAGR 97% → 105%, PF 4.29 → 4.63 • V7 + Pyramiding at +3R: CAGR 105% → 143%, PF 4.63 → 5.54 (current) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHY TRADINGVIEW RESULTS DIFFER FROM PUBLISHED NUMBERS Two reasons: 1. Bar history limit — TradingView loads a finite number of bars for strategy calculation. Free and basic plans only cover ~6–14 months of 1H data. The chart date header shows the full visible range, but the strategy only computes on the loaded bars. Premium plans load more history but usually still less than 6.5 years. 2. Indicator warmup — the Daily EMA50 filter needs ~50 daily bars (~2 months) of warmup data before producing stable values. Python skips the first 100 bars explicitly; Pine Script does not. For production-accurate numbers, use the Python backtest values above. For a feel of the strategy's pattern, the TV preview is fine as an indication. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHAT TO EXPECT This is NOT a high-frequency strategy: • ~15 trades per year including flip trades • Median wait between main signals: 7–10 days • Longest historical quiet gap: ~2 months • ~55% of trades stopped out (by design — fat-tail capture) • Average winner >> average loser (each win is ~5–8× an average loss) • Requires patience — extended quiet periods are normal, not a malfunction • Fat tails matter: a few mega-winners (10%+ single trades) drive most of the CAGR ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SETTINGS (all configurable with tooltips) Risk Management: • Leverage: 2× (tested only at this level) • Risk per trade: 1% (used for dashboard display) • DD halt: -25% for 168 hours (7 days) Stop Loss: • SL max: 2.5% cap • SL buffer: 0.1% Partial Take Profit: • TP trigger: 6R (sweep-verified peak) • TP close: 15% of position • SL-to-BE buffer after partial: 0.1% (kills runner-giveback) Entry Filters: • RSI long/short zones: 45 / 55 • Engulf body multiplier: 1.0× (any-size engulfing) • ATR MA length: 50 • Volume SMA length: 20 • Volume spike ratio: 1.5× Cooldowns: • Same-dir SL cooldown: 24h • Generic post-exit cooldown: 2h SL-Flip: • Enabled by default • Flip wait: 1h • Flip SL cap: 1.5% • Swing lookback: 10 bars • Flip time-stop: 24h Pyramiding (V2): • Enabled by default • Pyramid trigger: +3R favorable • Pyramid size: 50% of original position • Max 1 add per trade • Requires 4× exchange leverage ceiling (bot uses 2× normally) Visuals: • Clean view toggle (default ON — hides dashboard for publishing) • Daily EMA50 line toggle • Timeframe advisory banner (red warning if chart TF ≠ 1H) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ DISCLAIMER • Past performance does not guarantee future results. Backtests can overfit, especially after extensive parameter tuning. • Live performance will differ from backtest due to real slippage, partial fills, exchange latency, and market regime shifts. • TradingView free/basic accounts show a limited window; the authoritative full backtest is Python + Binance archives. • This strategy is designed for experienced traders who understand leverage, futures trading, stop losses, drawdown risk, and position sizing. • Small sample size (74 trades over 6.5 years) means regime changes could meaningfully degrade performance. A flat 3–6 month period is not a strategy failure. • The strategy depends on fat-tail winners. Missing one or two large trends can halve expected CAGR. • 2× leverage amplifies both gains AND drawdowns. Use capital you can afford to lose entirely. • Not financial advice — use at your own risk. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ CHANGELOG V2 (April 2026): • Pyramiding: add 50% position at +3R favorable (amplifies fat-tail winners) • Move original SL to BE when pyramid fires (protects base capital) • Max 1 pyramid add per trade, no pyramiding on flips • Requires pyramiding=1 in strategy settings + 4× exchange leverage ceiling • CAGR +105% → +143%, PF 4.63 → 5.54, DD barely changed V1 (April 2026 — first public release): • Multi-timeframe entry: Daily EMA50 + 4H RSI + 1H (RSI + MACD + Engulfing + ATR + Volume) • Pattern-based SL with 2.5% cap • Partial TP: 15% at +6R (small partial for maximum fat-tail capture) • SL-to-BE move after partial TP (kills runner-giveback) • SL-flip extension: opposite-direction entry after SL hit with tight 1.5% SL • 24h same-direction cooldown + 2h generic cooldown • -25% DD halt for 7 days • Clean-view toggle for minimal chart display • Timeframe-mismatch advisory banner
Strategi Pine Script®
oleh jagadeeshmanne
Shaven IdentifierShaven Identifier is a price-action tool designed to highlight "shaven" candles—specifically bullish candles with no bottom wick and bearish candles with no top wick. These formations often represent periods of strong, immediate conviction where the market moves decisively in one direction from the moment the candle opens. Core Concept In standard Japanese Candlestick theory, these are often referred to as Shaven Bottom (bullish) or Shaven Head (bearish) candles. They indicate that: Bullish (No Bottom Wick): Buyers were so aggressive that the price never dipped below the opening price. Bearish (No Top Wick): Sellers were so aggressive that the price never rose above the opening price. Key Features Momentum Markers: The script places a triangle below bullish signals and above bearish signals to provide immediate visual feedback on candle close. Level Extensions: It draws horizontal lines from the "flat" side of the candle (the Open). These levels often act as "hidden" support or resistance, as they represent the exact price where one side of the market took total control. Customizable Duration: You can control how many bars the horizontal levels extend across the chart, allowing you to see how price reacts to these levels in the near future. How to Use It Trend Confirmation: Seeing multiple "No Wick" candles in the direction of a trend can signal high-momentum continuation. Support & Resistance: The horizontal lines extended from these candles can serve as targets or areas to watch for potential price rejections. Entry Signal: Some traders use these as confirmation for entries, as they show a lack of hesitation from the dominant side of the market.
Penunjuk Pine Script®
oleh InvestiShare
Candle Pattern Winrate Stats ## 📊 Candle Pattern Winrate Stats This indicator is designed to transform candlestick patterns from subjective, belief-based signals into objective, data-driven statistics. It automatically evaluates the historical performance (winrate) of multiple candlestick patterns directly on your chart. --- ## 🔍 Core Concept Instead of assuming that a pattern works, this script answers a more important question: "Does this pattern actually have a statistical edge?" The indicator: - Detects predefined candlestick patterns (e.g., Hammer, Doji, Engulfing) - Records each occurrence as a discrete event - Evaluates price movement after a fixed number of candles (lookforward window) - Classifies outcomes as Win or Loss - Aggregates results into a measurable winrate This allows traders to move from visual interpretation → to empirical validation. --- ## ⚙️ How It Works ### 1. Pattern Detection Supports multiple pattern categories: - Bullish Reversal (1 / 2 / 3 candles) - Bearish Reversal - Shadow-based patterns (Hammer, Shooting Star) - Neutral patterns (Doji, Spinning Top) Each pattern can be enabled or disabled independently. --- ### 2. Winrate Calculation Logic For every detected pattern: - A forward window (X candles) is defined - Price movement is evaluated after that window - If price moves in the expected direction → Win - Otherwise → Loss All results are stored and continuously updated to reflect real historical performance. --- ### 3. Filtering (Noise Reduction) Optional filters improve signal quality: - EMA Trend Filter Restricts signals based on trend direction (e.g., bullish patterns only above EMA) - Volume Filter Filters out low-volume conditions using a moving average of volume These filters help isolate higher-quality statistical samples. --- ### 4. Statistical Controls - Min Samples Displays only patterns with sufficient sample size to avoid unreliable conclusions - Percentile Lookback Normalizes performance relative to recent market conditions - Tolerance (%) Defines acceptable similarity between price values (e.g., open ≈ close) --- ## 🔬 Methodology & Statistical Framework This script treats each candlestick pattern as a discrete statistical event rather than a visual signal. For every detected pattern: - A fixed forward return horizon is applied (lookforward window) - Outcomes are simplified into binary classification (win / loss) - Empirical probabilities are derived from aggregated historical samples Unlike traditional candlestick indicators, this approach enables: - Objective measurement of pattern performance - Direct comparison across different pattern types - Reduction of subjective bias in decision-making --- ## 📋 Output - Winrate (%) for each pattern - Number of samples (data reliability) - On-chart summary table (customizable position) --- ## 🧠 Professional Usage ❌ Avoid: - Using patterns as direct entry signals ✅ Recommended: - Use winrate as a filtering tool - Focus on statistically significant patterns - Combine with: - Market Structure - Supply / Demand - Trend context --- ## 📊 Example Interpretation Pattern | Winrate | Sample | Insight ---|---|---|--- Hammer | 62% | 120 | Usable Doji | 48% | 300 | No statistical edge Engulfing | 68% | 80 | Strong signal --- ## ⚠️ Important Notes - Winrate ≠ Profit (risk/reward must be considered) - Market conditions evolve → statistics may change over time - Results vary across different timeframes and assets - Be cautious of overfitting when sample size is small --- ## 🎯 Who Is This For - System traders - Quantitative / data-driven traders - Developers building trading bots (MQL5, Pine Script, Python) - Traders seeking objective validation over subjective analysis --- ## 🚀 Key Insight "Does this pattern actually work — or does it just look like it does?"
Penunjuk Pine Script®
oleh traderhomepro
High Timeframe Candles - HTFHigh Timeframe Candles - HTF High Timeframe Candles - HTF indicator is a professional analysis dashboard developed for traders who want to maintain a clear view of Higher Timeframe (HTF) market structure and liquidity gaps while operating on Lower Timeframes (LTF). Based on ICT (Inner Circle Trader) concepts, this tool dynamically draws up to six selected higher timeframes and their respective imbalances on the right side of the chart (offset). The indicator is specifically designed for "upward" timeframe analysis, meaning it displays only periods higher than your current chart (e.g., viewing 15m, 1H, and 4H candles while on a 5m chart) and does not show lower timeframe data on the dashboard. One of the indicator's strongest features is its real-time data synchronization. HTF candles are updated instantaneously with every price movement on the lower timeframe. This allows you to monitor the formation, wick length, and expansion of a 15-minute or hourly candle while actively trading on a 1-minute chart. Additionally, it maximizes time management by providing dynamic countdown timers for each HTF candle closing and Day of Week (DOW) labels for daily candles. In terms of imbalance detection, this tool offers advanced features by automatically identifying Fair Value Gap (FVG) and Volume Imbalance (VI) zones directly on the HTF candles. This functionality enables you to see which high-timeframe gap the price is gravitating toward or which levels it might react to without ever switching charts. Specifically, it includes options to align daily candle calculations with critical ICT "True Day Open" benchmarks, such as Midnight, 08:30, or 09:30 New York time. Designed with a user-friendly interface, this indicator is fully customizable and optimized to reduce workspace clutter while protecting trader psychology. By eliminating the need to constantly flip through different timeframes, it helps you maintain focus during execution. Coded with the latest Pine Script v6 performance standards, this tool provides a comprehensive roadmap for both scalping and intraday trading strategies.
Penunjuk Pine Script®
oleh Emirhan_Denizyol
1
Dissonance Ledger [JOAT]Dissonance Ledger Introduction Dissonance Ledger is an advanced open-source divergence intelligence system that simultaneously monitors four independent oscillators — RSI, MACD histogram, Money Flow Index (MFI), and Momentum — for both regular and hidden divergences against price. Rather than relying on a single oscillator (which produces frequent false divergences), this indicator uses a confluence scoring system that requires multiple oscillators to confirm the same divergence before generating a signal. The result is a divergence detection engine with substantially fewer false positives than any single-oscillator approach. The fundamental problem with traditional divergence trading is reliability. A bearish RSI divergence (price making higher highs while RSI makes lower highs) fails more often than it succeeds when used in isolation. This is because a single oscillator can diverge from price for structural reasons unrelated to an impending reversal. Dissonance Ledger solves this by requiring a minimum number of oscillators (configurable, default 2 out of 4) to independently confirm the same divergence pattern. When RSI, MACD, MFI, and Momentum all agree that momentum is weakening despite price advancing, the probability of a genuine reversal increases substantially. Core Concepts 1. Multi-Oscillator Divergence Architecture The indicator calculates four oscillators at global scope to ensure proper history tracking: RSI (Relative Strength Index): Measures the ratio of average gains to average losses. Divergences in RSI indicate that the magnitude of price moves is changing relative to the trend MACD Histogram: The difference between the MACD line and its signal line. Divergences in the histogram indicate that the rate of momentum change is shifting MFI (Money Flow Index): A volume-weighted RSI that incorporates buying and selling pressure. MFI divergences indicate that volume is not confirming the price move Momentum: Raw rate of change (close minus close N bars ago). Momentum divergences indicate that the absolute speed of price movement is declining Each oscillator provides a different lens on momentum. RSI measures relative strength, MACD measures momentum acceleration, MFI measures volume-confirmed pressure, and Momentum measures raw speed. When multiple lenses agree, the signal is more reliable. 2. Fractal Pivot Anchoring Divergences are anchored to fractal pivot points rather than arbitrary lookback windows. The indicator uses `ta.pivothigh()` and `ta.pivotlow()` with configurable left and right bar counts to identify genuine swing highs and lows. Each pivot's price and all four oscillator values are stored in arrays: if not na(pivHigh) array.unshift(phPrices, pivHigh) array.unshift(phBars, bar_index - pivotRight) array.unshift(phRSI, rsiAtBar) array.unshift(phMACD, macdAtBar) // ... MFI, MOM stored similarly When a new pivot forms, the indicator compares it against the previous pivot. If price made a higher high but one or more oscillators made a lower high, that oscillator registers a bearish divergence vote. The confluence count is the total number of oscillators that agree. 3. Regular vs Hidden Divergences The indicator detects both types: Regular Divergence (Reversal): Price makes a higher high / lower low while oscillators make a lower high / higher low. This suggests the current trend is losing momentum and a reversal may follow Hidden Divergence (Continuation): Price makes a lower high / higher low while oscillators make a higher high / lower low. This suggests the underlying trend remains strong despite a surface-level pullback, and continuation is likely Regular divergences are drawn with solid lines; hidden divergences use dashed lines in distinct colors (arctic cyan for hidden bull, amber for hidden bear) to differentiate them visually. 4. Divergence Strength Scoring Each detected divergence receives a strength score (0-100) based on three factors: Confluence Weight (50%): More oscillators confirming = higher score. 4/4 confluence scores maximum Price Divergence Magnitude (25%): Larger percentage difference between the two pivot prices = stronger divergence Oscillator Divergence Magnitude (25%): Larger absolute difference in oscillator readings between pivots = stronger signal This scoring system helps traders prioritize high-conviction divergences over marginal ones. 5. ATR Target Projections When a divergence is confirmed, the indicator projects a target level using a configurable ATR multiple from the pivot point. For bullish divergences, the target is projected above the pivot low; for bearish, below the pivot high. These targets provide a measured-move expectation for the potential reversal. 6. Oscillator Aggregate Bias Beyond divergence detection, the indicator calculates an aggregate bias across all four oscillators. Each oscillator's reading is normalized to a -1 to +1 scale, and the average is smoothed with an EMA. This provides a continuous measure of overall momentum direction and strength, independent of divergence signals. Features Confluence-Scored Divergence Labels: Each divergence signal shows its confluence count (e.g., "3/4 REG" for a regular divergence confirmed by 3 of 4 oscillators) and whether it is regular or hidden Divergence Lines: Solid lines for regular divergences, dashed lines for hidden divergences, connecting the two pivot points that form the divergence pattern ATR Target Projections: Dashed horizontal lines with price labels showing the projected target for each divergence Oscillator Momentum Ribbon: An EMA-based ribbon on the price chart that fills bullish or bearish based on the aggregate oscillator bias, providing continuous momentum context Divergence Decay Tracking: After a divergence signal, a fading background zone tracks the "decay" period — the window during which the divergence is still considered active. The zone fades progressively over the configurable decay duration Confluence-Weighted Bar Coloring: Candle colors shift on a gradient based on how many oscillators agree on direction. Full agreement produces vivid colors; mixed signals produce muted colors Divergence History Chain: The dashboard tracks the last three divergence signals in sequence (e.g., "BULL > BEAR > H-BULL"), revealing the pattern of momentum shifts Pivot Markers: Small circles mark fractal pivots that did not produce divergences, maintaining structural awareness 16-Row Dashboard: Displays all four oscillator values, agreement count, aggregate bias, last bull/bear divergence details, strength scores, hidden divergence tracking, history chain, decay status, and total divergence counts Input Parameters Pivot Detection: Left/Right Bars: Fractal pivot detection sensitivity (default: 5/5) Lookback Window: Maximum bars between pivots for divergence comparison (default: 60) Oscillators: RSI Length (default: 14), MACD Fast/Slow/Signal (default: 12/26/9), MFI Length (default: 14), Momentum Length (default: 14) Confluence: Min Confluence: Minimum oscillators required to confirm a divergence (default: 2, range: 1-4) Target Projection: ATR Target Multiple: Multiplier for target distance (default: 1.5) Target ATR Length: ATR period for projection calculation (default: 14) Visuals: Toggles for divergence lines, hidden divergences, target projections, oscillator ribbon, bar coloring, signal background, decay zones, and dashboard Decay Duration: Number of bars the divergence decay zone persists (default: 20) How to Use This Indicator Step 1: Set Your Confluence Threshold Start with the default minimum confluence of 2. If you want fewer but higher-conviction signals, increase to 3 or 4. A 4/4 confluence divergence is rare but highly significant. Step 2: Watch for Divergence Labels When a label appears (e.g., "3/4 REG" below a pivot low), it means 3 of 4 oscillators confirmed a regular bullish divergence at that pivot. The higher the confluence, the more attention the signal deserves. Step 3: Check the Strength Score In the dashboard, review the divergence strength percentage. Scores above 60 indicate strong divergences with large price and oscillator magnitude differences. Scores below 30 are marginal. Step 4: Use Target Projections for Planning The dashed target line shows where a measured-move reversal might reach. Use this for take-profit planning, not as a guaranteed level. Step 5: Monitor the Decay Zone The fading background after a divergence signal shows the active window. If price hasn't responded by the time the decay zone expires, the divergence has likely failed. Step 6: Read the History Chain A sequence like "BEAR > BEAR > BEAR" in the history chain suggests persistent bearish momentum divergences — the trend may be weakening structurally. Alternating "BULL > BEAR > BULL" suggests choppy, unreliable conditions. Close-up showing a 4/4 confluence bearish divergence with all four oscillator divergence lines visible, the strength score in the dashboard reading 78%, and the ATR target projection line below Indicator Limitations Divergences are identified at fractal pivots, which require right-bar confirmation. This means divergences are detected with a delay equal to the right-bar count (default 5 bars after the actual pivot) Even with multi-oscillator confluence, divergences can fail. Strong trends can produce multiple consecutive divergences before any reversal occurs — this is known as "divergence stacking" and is a well-known limitation of divergence trading The four oscillators used (RSI, MACD, MFI, Momentum) are all derived from price and volume. They are not truly independent — they share common inputs and can produce correlated false signals during certain market conditions MFI requires reliable volume data. On forex pairs or instruments with synthetic/tick volume, MFI-based confluence may be less meaningful Target projections use ATR as a distance measure, which is backward-looking. In rapidly changing volatility environments, projected targets may overshoot or undershoot Hidden divergences are continuation signals, not reversal signals. Confusing the two types leads to trading against the trend Originality Statement This indicator is original in its multi-oscillator confluence approach to divergence detection. While divergence indicators exist for individual oscillators, this indicator is justified because: The four-oscillator confluence system (RSI + MACD + MFI + Momentum) provides a reliability filter not available in single-oscillator divergence detectors. Each oscillator measures a different aspect of momentum, and their agreement substantially reduces false positives The divergence strength scoring system quantifies signal quality using confluence weight, price magnitude, and oscillator magnitude — providing an objective measure for prioritizing signals Fractal pivot anchoring ensures divergences are measured between genuine swing points rather than arbitrary lookback windows The divergence decay tracking system provides a visual time-window for signal validity, addressing the common question of "how long is this divergence still relevant?" The aggregate oscillator bias ribbon provides continuous momentum context independent of divergence signals The history chain tracking reveals patterns in divergence sequences that can indicate structural trend weakening or choppy conditions Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Divergences are probabilistic patterns, not certainties — even high-confluence divergences can and do fail. Past divergence patterns do not guarantee future reversals. Target projections are mathematical estimates, not price predictions. Always use proper risk management including stop losses and position sizing. The author is not responsible for any losses incurred from using this indicator. -Made with passion by officialjackofalltrades
Penunjuk Pine Script®
oleh officialjackofalltrades
2
AB Lydian Pulse⚡ AB·LYDIAN PULSE — Professional Candlestick Pattern Analysis System ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ AB·LYDIAN PULSE is a professional analysis system that detects candlestick patterns on your chart, scores the quality of each formation, and displays only meaningful signals. This is NOT a trend or momentum indicator. It focuses solely on candlestick formations. ━━━━━━━━━━━━━━━━━━━━━━━━ ▲ BULLISH PATTERNS ━━━━━━━━━━━━━━━━━━━━━━━━ 🔨 Hammer Small body with a long lower wick. Lower wick must be at least 60% of total range. Strong reversal signal when formed after a downtrend. 🟢 Bullish Engulfing A large green candle that completely engulfs the previous small red candle. Valid when the green body fully covers the red body. ⭐ Morning Star Three-candle pattern: large red → small body → large green. The final candle must close above the midpoint of the first candle. 📌 Piercing Line Green candle after a red candle. Green opens below the previous low and closes above the midpoint of the red body. 🏛️ Three White Soldiers Three consecutive bullish candles. Each closes higher than the previous. Upper wicks must be short. ━━━━━━━━━━━━━━━━━━━━━━━━ ▼ BEARISH PATTERNS ━━━━━━━━━━━━━━━━━━━━━━━━ 💫 Shooting Star Small body with a long upper wick. Upper wick must be at least 60% of total range. Strong reversal signal when formed after an uptrend. 🔴 Bearish Engulfing A large red candle that completely engulfs the previous small green candle. Valid when the red body fully covers the green body. 🌙 Evening Star Three-candle pattern: large green → small body → large red. Mirror image of Morning Star. Final candle must close below the midpoint of the first. ☁️ Dark Cloud Cover Red candle after a green candle. Red opens above the previous high and closes below the midpoint of the green body. 🏴 Three Black Crows Three consecutive bearish candles. Each closes lower than the previous. Lower wicks must be short. ━━━━━━━━━━━━━━━━━━━━━━━━ ◆ NEUTRAL PATTERNS ━━━━━━━━━━━━━━━━━━━━━━━━ ✦ Doji Open and close at nearly the same level. Signals market indecision. Upper and lower wicks should be balanced. ◧ Harami Second candle's body is completely contained within the first candle's body. Divided into Bullish Harami (after downtrend) and Bearish Harami (after uptrend). ━━━━━━━━━━━━━━━━━━━━━━━━ 🏆 QUALITY GRADING SYSTEM ━━━━━━━━━━━━━━━━━━━━━━━━ Each detected pattern receives a quality score from 0-100: 🟢 Grade A (75-100): Perfect formation. All criteria fully met. Large label on chart. 🟡 Grade B (50-74): Good formation. Most criteria met. Normal label. 🟠 Grade C (30-49): Acceptable. Minimum criteria satisfied. Small label. Score is calculated based on: — Wick / body ratio accuracy — Body size (ATR-based dynamic threshold) — Volume strength — Previous candle alignment — Pattern-specific bonus criteria ━━━━━━━━━━━━━━━━━━━━━━━━ 🔍 SMART FILTERS ━━━━━━━━━━━━━━━━━━━━━━━━ 📏 ATR Dynamic Threshold: Candle size evaluated against ATR. Auto-adjusts across all timeframes. 📊 Volume Confirmation: Signal strengthens when volume exceeds average. Can be toggled on/off. 🏆 Quality Filter: Only selected grade level and above are displayed (A / B / C). ⏱️ Spam Filter: Consecutive same-direction signals are blocked. Minimum 5-bar cooldown. 🔬 Textbook Validation: Each pattern is verified against its own specific rules. ━━━━━━━━━━━━━━━━━━━━━━━━ 📋 PREMIUM PANEL ━━━━━━━━━━━━━━━━━━━━━━━━ 🕯️ Last signal name and emoji 📐 Direction (Bullish / Bearish / Neutral) ⏱️ How many bars ago it occurred 🏷️ Pattern type (Reversal / Neutral) 🏆 Quality grade and numeric score (/100) 🎯 Win rate (last 200 bars) 📊 Market bias (based on signal balance) 📈 Last 50 bars statistics 📜 Last 3 signals history Panel can be moved to 6 different positions and displayed in 3 sizes. ━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ SETTINGS ━━━━━━━━━━━━━━━━━━━━━━━━ 🌐 Language: Turkish / English (all labels and panel text adapt) 📏 ATR Period (default: 14) 📐 Min Body / ATR Ratio (default: 0.4) ⏱️ Signal Cooldown (default: 5 bars) 📊 Volume SMA Period (default: 20) 🎨 Customizable Bullish / Bearish / Neutral colors 🕯️ Each of the 12 patterns can be individually toggled on/off 📋 Panel position and size adjustable 🔔 Separate alert condition for each pattern ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ DISCLAIMER This indicator is NOT INVESTMENT ADVICE. It provides technical analysis information only. Base your investment decisions on your own research. Past performance is not a guarantee of future results. The developer cannot be held responsible for any financial losses that may occur from using this indicator.
Penunjuk Pine Script®
oleh Mindlytic
Candlestick Patterns HighlighterMost candlestick indicators are either too noisy or too dumb. This one is neither. Candlestick Patterns Highlighter v5 is a precision-focused tool that identifies high-probability candlestick structures using strict, adjustable logic — not vague textbook definitions. ⚡ What This Indicator Does This script automatically detects and highlights: Bullish Engulfing (BE) Bearish Engulfing (SE) Doji (D) Hammer (H) Inverse Hammer (IH) Each pattern is: Highlighted directly on the candle (barcolor) Marked with minimal, clean labels (no chart clutter) 🎯 Why This Is Different Most pattern indicators: Trigger too frequently Use loose definitions Are useless in real trading This one is built with strict mathematical filters, so you get: Fewer signals Better quality signals Full control over pattern sensitivity ⚙️ Customization (Where the Edge Is) You can fine-tune every pattern: Doji Control Define max body size as % of candle range Hammer Logic Control body size relative to range Define minimum lower wick strength Limit upper wick size Inverse Hammer Logic Mirror control of hammer structure Adjust upper wick dominance 👉 This means you are not locked into textbook definitions — you can adapt it to: Nifty scalping Intraday trading Swing setups 📊 Visual Design Color-coded candles Green → Bullish Engulfing Red → Bearish Engulfing Yellow → Doji Aqua → Hammer Orange → Inverse Hammer Minimal labels BE / SE / D / H / IH No unnecessary clutter 🧠 How to Use (Blunt Truth) Don’t be stupid and trade patterns blindly. Use this as: Confirmation, not entry Combine with: Structure (support/resistance) Trend Liquidity zones Best use cases: Reversal zones Pullbacks Breakout retests
Penunjuk Pine Script®
oleh ajwoodpeckies
Bastion Execution Protocol [JOAT]Bastion Execution Protocol Introduction The Bastion Execution Protocol is an open-source automated trading strategy built in Pine Script v6. It combines regime detection, market structure analysis, dual momentum confirmation (RSI + Stochastic Momentum Index), order flow validation (CVD), candle pattern recognition, session filtering, and dynamic risk management into a single institutional-grade execution framework. The strategy is designed to take high-confluence directional trades only when multiple independent factors align — regime, structure, momentum, volume flow, and session — while managing risk through ATR-based stop losses, configurable reward-to-risk ratios, trailing stops, regime-adaptive position sizing, daily trade limits, and end-of-day forced closes. This is not a "set and forget" black box. It is a transparent, fully configurable framework where every entry condition, risk parameter, and filter can be adjusted. The strategy is published open-source so traders can study the logic, understand why each trade is taken, and adapt the parameters to their instruments and timeframes. Why This Strategy Exists Most published strategies on TradingView fall into two categories: overly simple (single indicator crossover) or overly complex (dozens of conditions that overfit to historical data). This strategy occupies the middle ground — it requires meaningful confluence from independent analytical dimensions without over-optimizing to specific historical patterns: Multi-Factor Entry Gate: Every trade requires agreement from regime detection, market structure, momentum oscillators, and optionally CVD order flow and candle patterns. No single factor can trigger a trade alone. Regime-Aware Execution: The strategy only trades in trending regimes by default. It avoids squeeze conditions and can be configured to require specific regime states. Position sizing automatically reduces in volatile or uncertain regimes. Session Intelligence: Trades are filtered by session (London, New York, Kill Zones) and day of week. The strategy avoids low-quality periods and forces position closure at end of day. Dynamic Risk Management: ATR-based stop losses adapt to current volatility. Trailing stops activate after a configurable profit threshold. Position sizing is calculated from account equity and risk percentage, then adjusted by regime conditions. Performance Tracking: Real-time HUD displays win rate, profit factor, max drawdown, daily trade count, and current position status. Strategy Architecture — 9 Modules The strategy is organized into 9 sequential modules, each responsible for a specific aspect of the trading process: Module 1: Regime Detection The regime engine classifies the market into four states using SMA alignment and VWAP slope: Trend Up: SMA 20 > 50 > 200 (bull alignment) AND positive VWAP slope — clear upward momentum Trend Down: SMA 20 < 50 < 200 (bear alignment) AND negative VWAP slope — clear downward momentum Squeeze: Bollinger Band width in the bottom 10th percentile — volatility compression Range: No SMA alignment and flat VWAP slope — sideways conditions The VWAP slope is normalized by ATR to make it comparable across instruments with different price scales. The regime state directly controls whether trading is allowed — by default, the strategy requires a trending regime. Module 2: Market Structure Swing-based structure tracking identifies the directional bias: Pivot highs and lows are detected using configurable lookback When price closes above the last swing high while structure was bearish or neutral, structure flips bullish When price closes below the last swing low while structure was bullish or neutral, structure flips bearish Structure must agree with the regime for entries — regime bullish + structure bullish = long allowed Displacement candle detection identifies aggressive institutional order flow — candles with body >= 70% of range and body >= 1.8x the 20-bar average body. These serve as entry triggers when all other conditions are met. Module 3: Momentum Confirmation Dual momentum confirmation requires both RSI and SMI to agree: RSI: Must be above the bull threshold (default 55) for longs, below the bear threshold (default 45) for shorts Stochastic Momentum Index: Must be positive for longs, negative for shorts. The SMI measures where price sits relative to the midpoint of its recent range, double-smoothed for noise reduction. Both must agree — RSI bullish AND SMI bullish = momentum confirmed for longs Module 3B: CVD Order Flow Confirmation When enabled, Cumulative Volume Delta must support the trade direction: Buy volume is estimated from bullish candles (close > open = full volume, otherwise proportional) Sell volume = total volume minus buy volume CVD = cumulative sum of (buy volume - sell volume) CVD must be above its moving average for longs, below for shorts This ensures that actual volume flow supports the intended trade direction Module 3C: Candle Pattern Detection When enabled, the strategy detects institutional candle patterns as entry triggers: Bullish Engulfing: Current bullish candle fully engulfs the prior bearish candle's body, with volume above average Bearish Engulfing: Current bearish candle fully engulfs the prior bullish candle's body, with volume above average Bullish Pin Bar: Lower wick > 2x body, upper wick < 0.5x body — rejection of lower prices Bearish Pin Bar: Upper wick > 2x body, lower wick < 0.5x body — rejection of higher prices Patterns serve as alternative entry triggers alongside displacement candles. Either a displacement candle, a pattern, or price above SMA20 + VWAP can trigger entry when all other conditions are met. Module 4: Session Filter The session filter controls when trading is allowed: Four session windows: NY Kill Zone (7-10am), London Kill Zone (2-5am), NY Session (9:30am-4pm), London Session (3am-9:30am) Each session can be individually enabled/disabled Day of week filter allows disabling specific days (e.g., avoid Mondays or Fridays) Configurable timezone (default: America/New_York) End-of-day forced close at configurable time (default: 3:45pm) Module 5: Daily Trade Counter A daily trade counter prevents overtrading: Resets at the start of each new day Configurable maximum trades per day (default: 3) Combined with squeeze avoidance and regime filtering for comprehensive trade gating Module 6: Entry Signal Generation Entry signals require ALL of the following to be true simultaneously: // Long entry requires full confluence: // 1. Regime = Trend Up // 2. Structure trend = Bullish (swing break confirmed) // 3. RSI > bull threshold AND SMI > 0 // 4. CVD above its MA (if enabled) // 5. Bar is confirmed (barstate.isconfirmed) // 6. Trade is allowed (daily limit, session, no squeeze) // 7. Trigger: displacement candle OR pattern OR price > SMA20 + VWAP This multi-gate approach ensures that trades are only taken when regime, structure, momentum, volume flow, session, and a specific trigger all agree. The probability of a random signal passing all gates is very low, which is by design. Module 7: Risk Calculations Risk is calculated dynamically for each trade: Stop Loss: ATR * configurable multiplier (default 1.5x) below entry for longs, above for shorts Take Profit: SL distance * reward-to-risk ratio (default 2.0x) Position Size: (Account Equity * Risk Percentage * Regime Multiplier) / SL Distance Regime-Adaptive Sizing: When enabled, position size is reduced to 50% during squeeze conditions and 70% during non-trending conditions. Full size is used only in trending regimes. Module 8: Trade Execution Entries are executed using strategy.entry() with calculated position size. The strategy tracks active trade parameters (entry price, SL, TP) for trailing stop management. Module 9: Exit Management Three exit mechanisms operate simultaneously: Fixed SL/TP: strategy.exit() with the calculated stop loss and take profit levels Trailing Stop: When enabled, activates after price moves a configurable multiple of R in profit (default 1.0R). The trail distance is ATR * configurable multiplier (default 1.0x). The trailing stop only moves in the favorable direction and replaces the fixed SL when it is tighter. End-of-Day Close: All positions are closed at the configured time to avoid overnight risk Performance Tracking The strategy tracks and displays real-time performance metrics: Win Rate: Wins / (Wins + Losses) as a percentage Profit Factor: Gross Profit / Gross Loss — values above 1.5 indicate a healthy edge Max Drawdown: Peak-to-trough equity decline as a percentage Net P&L: Total net profit/loss Daily Trade Count: Current day's trades vs maximum allowed Strategy Settings and Backtesting Notes The strategy is configured with realistic default parameters: Initial Capital: $100,000 Default Position Size: 2% of equity Risk Per Trade: 1.5% (configurable) Commission: Not included by default — users should add commission appropriate to their broker in the strategy settings Slippage: Not included by default — users should add slippage appropriate to their instrument calc_on_every_tick: false — the strategy only evaluates on confirmed bar closes to prevent repainting calc_on_order_fills: true — allows trailing stop updates on fill events Important: Before evaluating backtest results, users should: Add realistic commission for their broker (e.g., $5 per trade for stocks, 0.1% for crypto) Add realistic slippage (e.g., 1-2 ticks for liquid instruments) Verify that the backtest period includes different market conditions (trending, ranging, volatile) Check that the number of trades is sufficient for statistical significance (100+ trades recommended) Understand that past performance does not guarantee future results Input Parameters Risk Management: Risk Per Trade %: Percentage of equity risked per trade (default: 1.5%) Reward:Risk Ratio: TP distance as multiple of SL distance (default: 2.0) SL ATR Multiplier: Stop loss distance as ATR multiple (default: 1.5) ATR Length: Period for ATR calculation (default: 14) Use Trailing Stop: Enable/disable trailing (default: true) Trail After X R Profit: Profit threshold to activate trail (default: 1.0R) Trail ATR Multiplier: Trail distance as ATR multiple (default: 1.0) Max Trades Per Day: Daily trade limit (default: 3) Regime-Adaptive Sizing: Reduce size in non-trending conditions (default: true) Regime Filter: VWAP Slope Lookback: Period for slope calculation (default: 20) Slope Threshold: Normalized threshold for trend detection (default: 0.12) Bollinger Length/Multiplier: BB parameters for squeeze detection (default: 20/2.0) Avoid Squeeze Entries: Skip entries during squeeze (default: true) Require Trend Regime: Only trade in trending conditions (default: true) Structure: Swing Lookback: Pivot detection length (default: 5) Displacement Min Body Ratio: Minimum body/range for displacement (default: 0.7) Displacement Body Multiplier: Minimum body vs average for displacement (default: 1.8) Momentum: RSI Length/Thresholds: RSI parameters (default: 14, bull 55, bear 45) SMI Lookback/Smoothing: SMI parameters (default: 13/25/2) Session Filter: Enable Session Filter: Toggle session-based trade gating Individual session toggles: NY KZ, London KZ, NY, London Day of week toggles: Monday through Friday Force Close End of Day: Toggle EOD position closure Close Hour/Minute: EOD close time (default: 15:45) Order Flow: CVD Confirmation: Require delta direction to match entry (default: true) CVD Lookback: Period for CVD moving average (default: 10) Candle Patterns: Use Pattern Confirmation: Enable pattern detection as entry trigger (default: true) Pattern Volume Multiplier: Minimum volume for pattern confirmation (default: 1.3x) How to Use This Strategy Step 1: Configure for Your Instrument Adjust the ATR multiplier and displacement thresholds for your instrument's volatility. Add realistic commission and slippage in TradingView's strategy settings. Step 2: Set Your Risk Parameters Choose a risk percentage that matches your risk tolerance. The default 1.5% with 2:1 R:R is conservative. Adjust the trailing stop parameters based on your preference for locking in profits vs giving trades room. Step 3: Configure Sessions Enable the sessions relevant to your instrument. For US equities, NY KZ and NY Session are most relevant. For forex, both London and NY Kill Zones are important. Disable days you prefer not to trade. Step 4: Run the Backtest Apply the strategy to your chart and review the backtest results. Check win rate, profit factor, max drawdown, and number of trades. Ensure results are realistic and not the product of overfitting. Step 5: Forward Test Before trading live, run the strategy in paper trading mode for at least 2-4 weeks to verify that live performance matches backtest expectations. Best Practices Always add commission and slippage before evaluating backtest results The strategy works best on liquid instruments with reliable volume data Higher timeframes (15m+) produce fewer but higher-quality trades The multi-gate entry system means trades are infrequent by design — this is a feature, not a bug Regime-adaptive sizing is recommended — it automatically reduces exposure in uncertain conditions The daily trade limit prevents revenge trading and overexposure End-of-day forced close eliminates overnight gap risk for intraday strategies Monitor the HUD during live trading for real-time regime, momentum, and session context If win rate drops below 40% or profit factor drops below 1.0, re-evaluate parameters for current market conditions Limitations The strategy uses lagging indicators (SMAs, RSI, SMI) for entry conditions. Entries occur after the trend has started, not at the exact turn. Regime detection can lag regime changes. The strategy may miss the first portion of a new trend or take a trade just as a trend is ending. CVD is estimated from candle direction, not true order flow data. This is an approximation. Backtest results are hypothetical and do not account for real-world execution issues (partial fills, requotes, connectivity). The strategy is designed for intraday/swing trading. It is not optimized for scalping or long-term position trading. Session filtering is based on EST timezone. Instruments traded primarily in other timezones may need different session definitions. The multi-gate entry system can be too restrictive in some market conditions, producing very few trades. This is intentional — the strategy prioritizes quality over quantity. Past performance in backtesting does not guarantee future results. Market conditions change, and strategies that worked historically may not work in the future. Technical Implementation Built with Pine Script v6 using: calc_on_every_tick=false for non-repainting execution barstate.isconfirmed gating on all signal generation 9-module architecture with clear separation of concerns ATR-based dynamic stop loss and take profit calculation Trailing stop with configurable activation threshold and trail distance Regime-adaptive position sizing with squeeze and non-trending penalties Session detection with timezone support and day-of-week filtering Daily trade counter with automatic reset End-of-day forced close mechanism Real-time performance tracking (win rate, profit factor, max drawdown) Dual momentum confirmation (RSI + SMI) CVD order flow validation Candle pattern detection (engulfing, pin bar) with volume confirmation 6 alert conditions covering entries, regime changes, EOD close, patterns, and drawdown Originality Statement This strategy is original in its multi-dimensional confluence framework. While individual components (RSI, SMI, SMA alignment, session filtering) are established concepts, this strategy is justified because: The 9-module architecture creates a clear, auditable decision pipeline where each module's contribution to the final trade decision is transparent The multi-gate entry system (regime + structure + dual momentum + CVD + session + trigger) requires an unusually high level of confluence, reducing false signals Regime-adaptive position sizing automatically adjusts exposure based on market conditions, a feature rarely seen in published strategies The combination of trailing stops with regime-aware sizing creates a dynamic risk framework that adapts to changing conditions Session filtering with Kill Zone preference and day-of-week controls provides institutional-grade time management CVD order flow confirmation adds a volume-based validation layer that pure price-based strategies lack The real-time HUD with performance tracking provides transparency into strategy behavior that most published strategies do not offer The Volcanic theme provides a cohesive visual identity where every color choice carries meaning (lava = entry, amber = warning, teal = VWAP, crimson = bearish) Disclaimer This strategy is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Backtested results are hypothetical and do not represent actual trading. Past performance does not guarantee future results. The strategy involves risk of loss, including the potential loss of the entire investment. Commission, slippage, and other real-world execution costs are not included in the default configuration and must be added by the user for realistic evaluation. The author makes no claims about the profitability of this strategy and is not responsible for any losses incurred from its use. Always use proper risk management, trade with capital you can afford to lose, and consider consulting a qualified financial advisor before trading. -Made with passion by officialjackofalltrades
Strategi Pine Script®
oleh officialjackofalltrades
Lattice Trend Helix [JOAT]Lattice Trend Helix Introduction The Lattice Trend Helix is an open-source trend analysis indicator built in Pine Script v6. It combines a GMMA-inspired multi-EMA fan system (19 exponential moving averages across fast and slow groups) with a pivot-center SuperTrend, RSI momentum confirmation, and a comprehensive trend strength scoring system. The indicator detects EMA fan alignment, measures trend strength on a 0-100 scale, identifies fan expansion/contraction dynamics, and generates priority-ranked signals including full confluence locks, fan crosses, SuperTrend flips, EMA 200 reclaims, fan burst breakouts, SuperTrend bounces, and displacement impulses. The Guppy Multiple Moving Average (GMMA) concept, originally developed by Daryl Guppy, uses two groups of EMAs to visualize the behavior of short-term traders (fast group) and long-term investors (slow group). When both groups are aligned and separated, a strong trend is in place. When they converge and cross, a trend change is developing. This indicator extends the GMMA concept by adding a pivot-based SuperTrend for dynamic support/resistance, RSI filtering for momentum confirmation, and a quantified scoring system that turns visual alignment into a measurable number. Why This Indicator Exists Single moving average crossover systems are prone to whipsaws. Even dual-MA systems produce frequent false signals in choppy markets. The GMMA approach solves this by requiring alignment across many EMAs simultaneously — a much higher bar than a simple crossover. This indicator takes that concept further: 19-EMA Fan System: 11 fast EMAs (periods 3 through 23) capture short-term trader sentiment. 8 slow EMAs (periods 25 through 60) capture longer-term investor positioning. Full alignment of all 11 fast EMAs in order is a strong signal that short-term traders agree on direction. Full alignment of all 8 slow EMAs confirms institutional agreement. Pivot-Center SuperTrend: Unlike standard SuperTrend which uses HL2 as the center, this implementation uses a weighted average of detected pivot points. Each new pivot high or low updates the center using the formula: center = (center * 2 + pivot) / 3. This creates a more responsive center line that adapts to actual market structure rather than simple bar midpoints. ATR-based bands around this center define the trend direction. Trend Strength Score (0-100): Quantifies trend strength from three components — fast EMA alignment (50 points), slow EMA alignment (30 points), and price position relative to EMA 200 (20 points). A score of 100 means all 19 EMAs are perfectly aligned and price is on the correct side of the 200 EMA. Fan Spread Dynamics: The distance between the fastest EMA (3) and slowest fast EMA (23), normalized by ATR, measures how "open" the fan is. An expanding fan indicates strengthening trend momentum. A contracting fan warns of potential trend exhaustion or reversal. RSI Momentum Filter: RSI must agree with the fan direction for the highest-confidence signals. This prevents false confluence signals during momentum divergences. EMA 200 Macro Filter: Price must be above the 200 EMA for confirmed bullish signals and below for confirmed bearish signals, ensuring alignment with the macro trend. How the EMA Fan Alignment Works The fast fan consists of 11 EMAs at periods 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, and 23. For bullish alignment, every EMA must be above the next longer one: // Full fast fan bull alignment requires ALL 10 pairs in order bool fastBull = ef3 > ef5 and ef5 > ef7 and ef7 > ef9 and ef9 > ef11 and ef11 > ef13 and ef13 > ef15 and ef15 > ef17 and ef17 > ef19 and ef19 > ef21 and ef21 > ef23 This is an extremely high bar. In choppy markets, the fast EMAs will be tangled and neither fastBull nor fastBear will be true. Only in genuine trending conditions do all 11 EMAs sort into perfect order. The same logic applies to the 8 slow EMAs. The indicator counts how many adjacent pairs are aligned (0-10 for fast, 0-7 for slow) to produce a granular alignment score even when full alignment is not achieved. This allows the trend strength score to reflect partial alignment — a market with 8/10 fast pairs aligned is stronger than one with 4/10, even though neither achieves full alignment. Pivot-Center SuperTrend The SuperTrend component uses a unique center calculation based on detected pivot points: Pivot highs and lows are detected using ta.pivothigh() and ta.pivotlow() with a configurable period Each new pivot updates the center line using an exponentially weighted formula that gives 2/3 weight to the existing center and 1/3 to the new pivot Upper and lower bands are calculated as center +/- (ATR Factor * ATR) Trend direction flips when price crosses the opposite band The trailing stop ratchets in the trend direction — it can only move favorably, never against the trend This pivot-based center produces a SuperTrend that is more responsive to actual market structure than the standard HL2-based version. It adapts to the rhythm of the market's swing points rather than just the midpoint of each bar. Signal Priority System The indicator generates 8 types of signals, ranked by priority with cooldown-based anti-overlap: P1 — HELIX LOCK (highest): Full fan alignment (fast + slow) + RSI confirmation + price above/below EMA 200. This is the maximum confluence signal — every factor agrees. A highlight box is drawn around the signal candle. P2 — LATTICE SYNC: Full fan alignment (fast + slow) without RSI/EMA200 confirmation. Strong but not maximum confluence. P3 — TREND FLIP: SuperTrend direction change. The pivot-center SuperTrend has flipped from bearish to bullish or vice versa. P4 — FAN CROSS: The fast fan median (EMA 13) crosses the slow fan median (EMA 40). This is the GMMA equivalent of a moving average crossover, but using the center of each fan group. P5 — MACRO CROSS: Price crosses the EMA 200 — a major structural event that changes the macro trend context. P6 — FAN BURST: The fan spread transitions from contracting to expanding while the trend score is above 50. This indicates a breakout from compression — similar to a Bollinger squeeze release but measured through EMA dynamics. P7 — ST BOUNCE: Price touches the SuperTrend line and bounces in the trend direction. This is a pullback-to-support/resistance signal unique to this indicator. A separate 5-bar cooldown prevents repeated bounce signals during extended touches. P8 — IMPULSE (lowest): Displacement candle detection — large body (>70% of range, >2x average body). These indicate aggressive institutional order flow. Trend Strength Score Breakdown The 0-100 score is computed from three weighted components: Fast EMA Alignment (50 points): The number of aligned adjacent pairs (max 10) divided by 10, multiplied by 50. Full fast alignment = 50 points. Half alignment = 25 points. Slow EMA Alignment (30 points): The number of aligned adjacent pairs (max 7) divided by 7, multiplied by 30. Full slow alignment = 30 points. EMA 200 Filter (20 points): If price is above EMA 200 and the fast fan leans bullish, or below EMA 200 and the fast fan leans bearish, 20 points are added. This rewards macro-aligned trends. The score is displayed in the HUD with both a number and a visual bar (||||......). Scores above 70 indicate strong, tradeable trends. Scores between 40-70 indicate developing or weakening trends. Below 40 indicates choppy or transitional conditions. Visual Design The indicator uses a "Cyberpunk" color theme — electric cyan, hot magenta, neon yellow, deep violet, and chrome accents: Fast EMA Fan: All 11 lines in a single color that adapts to alignment — cyan for bullish, magenta for bearish, steel grey for neutral. Configurable opacity. Slow EMA Fan: All 8 lines in deeper tones — teal for bullish, violet for bearish, steel grey for neutral. EMA 200: Three-layer neon glow effect (outer glow, mid glow, core line) that shifts between cyan (above) and violet (below). Holographic Ribbon: Fill between the fastest (EMA 3) and slowest (EMA 23) fast EMAs, creating a ribbon that expands with trend strength and contracts during consolidation. SuperTrend: Four-layer neon glow step-line (88%, 72%, 50%, 10% transparency) in cyan (bullish) or magenta (bearish). Regime Background: Subtle background tinting for confirmed bull (cyan) or confirmed bear (magenta) conditions. Candle Coloring: Multi-tier coloring based on confirmation level — confirmed bull/bear, strong bull/bear, weak bull/bear, or neutral. HUD Dashboard The HUD displays 14 metrics: Trend direction (Bullish/Bearish/Neutral) Strength score with visual bar (||||......) Fan state (Strong Bull/Bear, Weak Bull/Bear, Converging) SuperTrend direction EMA 200 position (Above/Below) Alignment counts (Fast: X/10, Slow: X/7) Fan Spread value with state (Expanding/Contracting/Stable) RSI value with bull/bear/neutral classification Confluence count (0-5): fast alignment + slow alignment + SuperTrend agreement + RSI agreement + EMA 200 agreement SuperTrend distance from price Volume ratio (current vs 20-bar average) Confirmed signal status (CONFIRMED BULL/BEAR or ---) Input Parameters EMA Fan: Show Fast/Slow EMAs: Toggle each fan group Show EMA 200: Toggle macro filter line Fast/Slow EMA Opacity: Control transparency of each fan group SuperTrend: Show SuperTrend: Toggle the pivot-center SuperTrend Pivot Period: Lookback for pivot detection (default: 3) ATR Factor: Band width multiplier (default: 2.5) ATR Length: Period for ATR calculation (default: 14) Visual: Show Trend Ribbon: Toggle holographic ribbon fill Show Fan Crosses: Toggle fan cross signals Show Regime Background: Toggle background tinting SuperTrend Neon Glow: Toggle 4-layer glow effect Color Candles: Toggle multi-tier candle coloring HUD Panel: Toggle dashboard Momentum Filter: Show RSI Confirmation: Toggle RSI requirement for confirmed signals RSI Length: Period (default: 14) RSI Bull/Bear Threshold: Directional thresholds (default: 55/45) How to Use This Indicator Step 1: Check Fan Alignment Look at the fan state in the HUD. "Strong Bull" or "Strong Bear" means both fast and slow fans are fully aligned — the strongest trend condition. "Weak" means only the fast fan is aligned — a developing or weakening trend. Step 2: Verify with SuperTrend The SuperTrend should agree with the fan direction. Fan bullish + SuperTrend bullish = high conviction. Disagreement suggests a transitional market. Step 3: Check the Strength Score Scores above 70 are strong trends. Use the visual bar for quick assessment. The confluence count (0-5) tells you how many independent factors agree. Step 4: Trade the Signals HELIX LOCK is the highest-conviction entry — all factors agree. LATTICE SYNC and TREND FLIP are strong. FAN CROSS and MACRO CROSS are structural. ST BOUNCE provides pullback entries within established trends. Step 5: Monitor Fan Spread Expanding fan = strengthening trend. Contracting fan = weakening trend or approaching reversal. FAN BURST signals mark the transition from contraction to expansion. Best Practices The 19-EMA fan is most effective on timeframes of 5 minutes and above. Very low timeframes produce too much noise for meaningful alignment. Full fan alignment is rare and powerful. Do not expect it on every trade — it represents the highest-conviction conditions. The SuperTrend bounce signal works best in established trends. In choppy markets, bounces may fail. Fan crosses (fast median vs slow median) are the GMMA equivalent of MA crossovers — they confirm trend changes but lag the actual turn. The EMA 200 filter is a macro-level gate. Ignoring it means trading against the larger trend, which reduces probability. Use the fan spread dynamics to time entries — entering when the fan is expanding gives you momentum. Entering when it is contracting means you are fighting exhaustion. The confluence count (0-5) is a quick decision filter. 4-5 = high conviction. 2-3 = moderate. 0-1 = low conviction. Limitations EMAs are lagging indicators. Full fan alignment is confirmed after the trend has already started, not at the exact turn. The 19-EMA system uses significant computational resources. On very long charts with many bars, loading may be slower. Pivot-center SuperTrend depends on pivot detection, which has an inherent delay equal to the pivot period. Fan alignment can persist in overextended trends. Full alignment does not mean the trend will continue indefinitely. The RSI filter can occasionally prevent valid signals during strong momentum divergences. The indicator is optimized for trending markets. In range-bound conditions, the fan will be tangled and few signals will fire — which is by design. EMA periods are fixed (3-23 fast, 25-60 slow). Different instruments or timeframes might benefit from different period sets, but the GMMA standard periods are well-tested across markets. Technical Implementation Built with Pine Script v6 using: 19 EMA calculations at global scope (11 fast + 8 slow) for Pine v6 compliance Pivot-based SuperTrend center with exponentially weighted pivot averaging Granular alignment counting (0-10 fast, 0-7 slow) for trend strength scoring Fan spread normalization by ATR for cross-instrument comparability 8-tier priority signal system with cooldown-based anti-overlap Separate cooldown tracking for SuperTrend bounce signals 4-layer neon glow rendering for SuperTrend and EMA 200 Holographic ribbon fill between fan extremes Multi-tier candle coloring based on confirmation level barstate.isconfirmed gating on all signal generation 9 alert conditions covering alignment changes, fan crosses, SuperTrend flips, confirmed signals, and fan expansion Originality Statement This indicator is original in its synthesis of the GMMA fan concept with pivot-center SuperTrend and quantified trend scoring. While GMMA and SuperTrend are established concepts, this indicator is justified because: The pivot-center SuperTrend uses a weighted average of actual market pivots rather than simple HL2, creating a more structurally responsive trend line The trend strength score (0-100) quantifies fan alignment into a single actionable metric with three weighted components Fan spread dynamics (expansion/contraction tracking normalized by ATR) provide momentum acceleration/deceleration information not available in standard GMMA implementations The 8-tier priority signal system with separate cooldown tracking for SuperTrend bounces prevents visual clutter while capturing all significant events RSI momentum filtering and EMA 200 macro gating create a multi-layer confirmation framework that reduces false signals The confluence count (0-5) provides an instant assessment of how many independent factors agree The Cyberpunk theme with 4-layer neon glow and holographic ribbon creates a distinctive visual identity where trend strength is immediately apparent from the fan's visual character Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Moving average systems identify trends after they have started — they do not predict trend changes in advance. Full fan alignment can occur in overextended trends that are about to reverse. SuperTrend bounces can fail. Past alignment patterns do not guarantee future trend behavior. Always use proper risk management and never risk more than you can afford to lose. The author is not responsible for any losses incurred from using this indicator. -Made with passion by officialjackofalltrades
Penunjuk Pine Script®
oleh officialjackofalltrades